ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおĀԩএԩҢā ᴎ Ẅ Ꮉ ... ฆڳδ ۥჾޡ

ᴎ Ẅ Ꮉ ⿟ ᄺ ᡹
㄀ ो㄀ ᳳ
ᑈ ᳜
49
1
2013
˖
DOI
JOURNAL OF MECHANICAL ENGINEERING
1
Vo l . 4 9
No.1
Jan.
2013
10.3901/JME.2013.01.063
ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおĀԩএԩҢā
ฆ‫ڳ‬δ ‫ۥ‬ჾ‫ ޡ‬ч༲‫៾ྡྷऀ ע‬
1
2
2
೑ᆊ㞾✊⾥ᄺ෎䞥ྨਬӮ ࣫Ҁ
˗
㽓ᅝѸ䗮໻ᄺᴎẄࠊ䗴㋏㒳Ꮉ⿟೑ᆊ䞡⚍ᅲ偠ᅸ 㽓ᅝ
(1.
2.
1
100085
710049)
ᨬ㽕˖ᴎẄᬙ䱰䆞ᮁᰃϔ䮼䍋⑤Ѣ Ϫ㑾 ᑈҷⱘᮄ݈ᄺ⾥ˈ݊さߎ⡍⚍ᰃ⧚䆎ⷨおϢᎹ⿟ᅲ䰙ᑨ⫼㋻ᆚ㒧ড়DŽ䆹ᄺ⾥㒣
䖛ञϾϪ㑾ⱘথሩ䗤⏤៤❳ˈ೼ֵো㦋পϢӴᛳᡔᴃǃᬙ䱰ᴎ⧚Ϣᕕ‫ܚ‬㘨㋏ǃֵো໘⧚Ϣ䆞ᮁᮍ⊩ǃᱎ㛑‫އ‬ㄪϢ䆞ᮁ㋏㒳ㄝ
ᮍ䴶ᔶ៤䕗ᅠ୘ⱘ⧚䆎ԧ㋏ˈ⍠⦄њབܼᙃ䈅䆞ᮁǃᇣ⊶᳝䰤‫ܗ‬㺖㒍ࡼᗕᅮ䞣䆞ᮁㄝॳ߯ᗻ⧚䆎៤ᵰˈ೼ᴎẄǃ‫ފ‬䞥ǃ⷇࣪ǃ
㛑⑤੠㟾ぎㄝ㸠Ϯপᕫњ໻䞣ध᳝៤ᬜⱘᎹ⿟ᑨ⫼DŽԚᰃˈ䆹ᄺ⾥г䖬ᄬ೼ⴔᬙ䱰ᴎ⧚ⷨおϡ䎇ǃ䆞ᮁᮍ⊩᳝䰤੠ᱎ㛑䆞ᮁ
㋏㒳㭘ᔅㄝ䯂乬DŽҞৢᴎẄᬙ䱰䆞ᮁᄺ⾥ⱘ෎⸔ⷨお੠⑤༈᥶㋶おコᑨ䆹བԩᓔሩˈ᳾ᴹⱘথሩᮍ৥ᰃᗢḋˈᇚᰃϔϾ䴲ᐌ
ᗹߛϨ䳔㽕⏅ܹ᥶䅼ⱘ䯂乬DŽ೼ᇍ೑‫ݙ‬໪ᴎẄᬙ䱰䆞ᮁᄺ⾥෎⸔⧚䆎੠Ꮉ⿟ᅲ䰙ᑨ⫼ⷨお⦄⢊ߚᵤⱘ෎⸔ϞˈᣛߎⳂࠡ䆹ᄺ
⾥෎⸔ⷨおᄬ೼ⱘ䯂乬੠Ҟৢⷨおさ⸈ⱘᮍ৥DŽ
݇䬂䆡˖ᬙ䱰䆞ᮁ ᬙ䱰ᴎ⧚ ⡍ᕕᦤপ ᇓੑ乘⌟
Ё೒ߚ㉏ো˖
20
60
TH17
Basic Research on Machinery Fault Diagnosis
ü
What is the Prescription
WANG Guobiao HE Zhengjia CHEN Xuefeng LAI Yinan
1
2
2
1
(1. National Natural Science Foundation of China, Beijing 100085;
2. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049)
Abstract˖From the 1960s, the machinery fault diagnosis has rapidly developed as an emerging subject, whose prominent feature lies
in close combination of theoretical research and engineering practical application. Over the past half a century, the machinery fault
diagnosis has been developed into its maturity, which results in relatively comprehensive theoretical framework on signal acquisition
and sensing technology, fault mechanism and symptom relationship, signal processing and diagnosis method as well as intelligent
decision and diagnosis system. This subject has also made several original theoretical achievements, such as holospectrum diagnosis
and crack dynamic quantitative diagnosis with wavelet finite element. Meanwhile, it has been effectively implemented in a number of
engineering applications, such as machinery, metallurgy, petrochemical industry, energy and aviation, etc. However, there still exist
some shortcomings in this subject, such as research blanks in fault mechanism, limitation in diagnosis methods, weakness in
intelligent diagnosis equipment. Therefore, how to develop the basic research and explore the source of machinery fault diagnosis?
What are development directions in the future? These are urgent problems needed to be addressed. Based on the review of the recent
researches on basic theory of machinery fault diagnosis and its engineering practical application at home and abroad, the deficiency
of the basic research and the breakthrough potentials of machinery fault diagnosis are presented.
˖Fault diagnosis Fault mechanism Feature extraction Life prediction
Key words
0
ࠡ㿔
[1]
1
ᴎẄᬙ䱰䆞ᮁᡔᴃᰃⲥ⌟ǃ䆞ᮁ੠乘⼎䖲㓁䖤
㸠ᴎẄ䆒໛ⱘ⢊ᗕ੠ᬙ䱰ˈֱ䱰ᴎẄ䆒໛ᅝܼ䖤㸠
ⱘϔ䮼⾥ᄺᡔᴃˈгᰃ Ϫ㑾 ᑈҷҹᴹ‫ࡽ׳‬໮
⾡ᄺ⾥ⱘ⦄ҷ࣪ᡔᴃ៤ᵰ䖙䗳থሩᔶ៤ⱘϔ䮼ᮄ݈
ᄺ⾥DŽ݊さߎ⡍⚍ᰃ⧚䆎ⷨおϢᎹ⿟ᅲ䰙ᑨ⫼㋻ᆚ
20
20120627
㒧ড় DŽ
ᴎẄᬙ䱰䆞ᮁᇍѢֱ䱰䆒໛ᅝܼ䖤㸠ᛣН䞡
໻DŽᴎẄ䆒໛ϔᮺߎ⦄џᬙˈᇚᏺᴹᎼ໻ⱘ㒣⌢ᤳ
༅੠ҎਬӸѵDŽ೑‫ݙ‬໪಴ᴎẄ䆒໛ᬙ䱰㗠ᓩ䍋ⱘ♒
䲒ᗻџᬙስ᳝থ⫳ ˈ՟བ៥೑ϝኵᎹഄศᏺᴎᮁ
㺖џᬙǃ㕢೑હӺ↨Ѯো䕑Ҏ㟾໽亲ᴎ༅џǃ㕢೑
ぎ‫៬ ݯ‬ᴎぎЁ㾷ԧџӊㄝDŽℷ᠔䇧Āग䞠䭓෸ˈ
⑗Ѣ㱕えāˈ㢹㛑‫⹂ޚ‬ঞᯊ䆚߿䆒໛䖤㸠䖛⿟Ёᬙ䱰
ⱘ㧠⫳੠ⓨবˈᇍֱ䱰ᴎẄ㋏㒳ᅝܼ䖤㸠ˈ‫ޣ‬ᇥ៪
ᬊࠄ߱〓ˈ
20121109
ᬊࠄׂᬍ〓
60
[2]
F15
ᴎ Ẅ Ꮉ ⿟ ᄺ ᡹
64
䙓‫ܡ‬䞡໻♒䲒ᗻџᬙ‫݋‬᳝䴲ᐌ䞡㽕ⱘᛣНDŽЎℸˈ
㕢೑೑ᆊ㟾ぎ㟾໽ሔ(NASA)ᓔሩњЎᳳ 10 ᑈⱘ㟾
ぎᅝܼϧ乍ⷨお(Aviation safety program, AvSP)ˈᑊ
ᇚᮄⱘ໡ড়ᴤ᭭㒧ᵘ䭓ᳳ᳡ᕍЁᗻ㛑㳩বǃᤳӸⓨ
࣪੠⮆ࢇㄝⱘẔ⌟ǃ乘⌟੠乘䰆䯂乬߫Ў䞡㽕ⱘⷨ
お‫ݙ‬ᆍПϔDŽ៥೑೑ᆊЁ䭓ᳳ㾘ߦ(2006̚2020 ᑈ)
੠ljᴎẄᎹ⿟ᄺ⾥থሩ៬⬹᡹ਞ(2011̚2020 ᑈ)NJˈ
ഛᇚ䞡໻ѻક੠䞡໻䆒ᮑ䖤㸠ৃ䴴ᗻǃᅝܼᗻǃৃ
㓈ᡸᗻ݇䬂ᡔᴃ߫Ў䞡㽕ⱘⷨおᮍ৥ DŽ
ᴎẄᬙ䱰䆞ᮁᰃ೑‫ݙ‬໪ⱘⷨお⛁⚍DŽ䖥ᑈᴹˈ
ᬙ䱰䆞ᮁᡔᴃ೼೑‫ݙ‬໪ফࠄᰒ㨫䞡㾚ˈ೑‫ݙ‬໪ᕜ໮
ᄺ㗙ᓔሩњⳌ݇ⷨおᎹ԰ˈᴀ᭛Ѣ 2012 ᑈ 6 ᳜߽⫼
Google ᄺᴃ੠ Web of science ᭄᥂ᑧ䖯㸠Ẕ㋶˖೼
Google ᄺᴃ᧰㋶Ёˈ2008̚2012 ᑈᷛ乬Ё৿᳝ fault
diagnosis ⱘ᭛⤂᳝ 8 070 ԭ㆛ˈᷛ乬Ё৿᳝ damage
detection ⱘ᭛⤂᳝ 1 900 ㆛˗೼ Web of science ᭄᥂
ᑧЁˈ2008̚2012 ᑈᷛ乬Ё৿᳝ fault diagnosis ⱘ
᭛⤂᳝ 6 127 ԭ㆛ˈ݊Ё៥೑ऴ 46.875%ˈ㕢೑ऴ
14.722%ˈᷛ乬Ё৿᳝ damage detection ⱘ᭛⤂᳝
928 ԭ㆛ˈ㕢೑ऴ 26.078%ˈ៥೑ऴ 25.862%DŽϡҙ
བℸˈ䆌໮㨫ৡᄺᴃ㒘㒛੠ⷨおᴎᵘߚ߿ህᬙ䱰䆞
ᮁࠡ⊓䯂乬ীᓔ೑䰙Ӯ䆂DŽ䆒໛⢊ᗕⲥ⌟Ϣᬙ䱰䆞
ᮁ(Condition monitoring and diagnosis, CMD)೑䰙ᄺ
ᴃӮ䆂ϸᑈϔሞˈ⬅ IEEE ㄝ೑䰙ᗻᄺᴃ㒘㒛ᡔᴃᬃ
ᣕ˗⢊ᗕⲥ⌟Ϣ䆞ᮁᎹ⿟ㅵ⧚(Condition monitoring
[3-5]
and diagnostic engineering management, COMADEM)
೑䰙Ӯ䆂ᰃ↣ᑈВ㸠ϔ⃵ⱘˈ㟇 ᑈᏆВࡲ
ሞ˗ᴎẄ༅ᬜ乘䰆ᡔᴃ
ᰃ㟈࡯ѢᎹ⿟乚ඳ‫ع‬ᒋㅵ⧚Ϣ༅
ᬜ乘䰆ᡔᴃⷨおⱘ೑䰙Ӯ䆂ˈ↣ᑈВࡲϔ⃵ˈ㟇Ҟ
Ꮖ‫݋‬᳝ಯकᑈⱘথሩग़⿟DŽ೼೑‫ˈݙ‬Ё೑ᤃࡼᎹ⿟
ᄺӮǃЁ೑ᴎẄᎹ⿟ᄺӮㄝഛ↣䱨ϸᑈীᓔᬙ䱰䆞
ᮁӮ䆂ˈᮼ೼ࡴᔎᄺᴃѸ⌕੠᥼ᑓ៤ᵰᑨ⫼DŽ
2012
25
(Machinery failure prevention
technology, MFPT)
1
೑‫ݙ‬໪ⷨお⦄⢊
㞾 Ϫ㑾 ᑈҷ㕢೑ᬙ䱰䆞ᮁ乘䰆ᇣ㒘੠㣅
೑ᴎ఼ֱ‫ع‬Ёᖗ៤ゟҹᴹˈᬙ䱰䆞ᮁᡔᴃ䗤ℹ೼Ϫ
⬠㣗ೈ‫᥼ݙ‬ᑓ᱂ঞˈܼ⧗⾥ⷨ੠Ꮉ⿟乚ඳᎹ԰㗙೼
ֵো㦋পϢӴᛳᡔᴃǃᬙ䱰ᴎ⧚Ϣᕕ‫ܚ‬㘨㋏ǃֵো
໘⧚Ϣ⡍ᕕᦤপǃ䆚߿ߚ㉏Ϣᱎ㛑‫އ‬ㄪㄝᮍ䴶ᓔሩ
њ⿃ᵕⱘ᥶㋶ˈপᕫњЄ⸩ⱘ៤ᵰDŽ
೼ֵো㦋পϢӴᛳᡔᴃᮍ䴶
ৃ䴴ⱘֵো㦋পϢ‫ܜ‬䖯ⱘӴᛳᡔᴃˈᰃᴎẄᬙ
20
1.1
60
㄀ ो㄀ ᳳᳳ
49
1
ḍ᥂
䱰䆞ᮁⱘࠡᦤDŽ ᑈˈ㕢೑ⱘ
ԭ⃵џᬙߚᵤ㒣偠ˈᔦ㒇ᘏ㒧њᤃࡼ⡍ᕕߚᵤ㸼˗
೼ℸ෎⸔Ϟˈ
⷇⊍࣪Ꮉ݀ৌ JACKSON
㓪‫ݭ‬њᮟ䕀ᴎẄᤃࡼߚᵤᕕ‫ܚ‬ϔ㠀ব࣪㾘ᕟ㸼ˈ೑
‫ݙ‬໪ᮟ䕀ᴎẄ⢊ᗕⲥ⌟੠ᬙ䱰䆞ᮁߚᵤ੠ⷨおҎਬ
ᑓ⊯ᓩ⫼DŽ2009 ᑈ㕢೑ϝ䰶䰶຿ǃ㽓࣫໻ᄺᴎẄᎹ
⿟㋏ ACHENBACH ᬭᥜ ᇍ㒧ᵘ‫ع‬ᒋⲥ᥻ⷨお㣗
⭈԰њ䞡㽕䆎䗄ˈᇚӴᛳᡔᴃㄝ߫Ў䞡㽕ⷨお‫ݙ‬ᆍ˗
㕢೑ᮃഺ⽣໻ᄺⱘ KIREMIDJIAN ᓔሩњӴᛳ㔥
㒰ᮍ䴶ⱘⷨお˗䶽೑ YUN ㄝ ᓔሩњӴᛳᏗ㕂ⱘ
ⷨお˗᮹ᴀϰҀ໻ᄺ TAKEDA ㄝ ೼໡ড়ᴤ᭭㒧
ᵘ‫ع‬ᒋⲥ⌟Ӵᛳᮍ䴶পᕫњᰒ㨫ⱘⷨお៤ᵰ˗⥟ᔎ
ㄝ ᇍ㒧ᵘ‫ع‬ᒋⲥ⌟Ёⱘय़⬉䰉߫ᡔᴃ䖯㸠њ
ⷨおDŽ
೼ᬙ䱰ᴎ⧚Ϣᕕ‫ܚ‬㘨㋏ᮍ䴶
ᓘ⏙ᬙ䱰ⱘѻ⫳ᴎ⧚੠㸼ᕕᔶᓣˈᰃᴎẄᬙ䱰
䆞ᮁⱘ෎⸔DŽ2008 ᑈᛣ໻߽ᄺ㗙 BACHSCHMID
ㄝ Ў㑾ᗉ㺖㒍ⷨお 50 ਼ᑈˈ೼೑䰙ᳳߞ MSSP
Ϟᅶ㈡Џ㓪њϔᳳ㺖㒍ⷨお㓐䗄᭛ゴˈҢ㺖㒍䕀ᄤ
῵ൟǃ㺖㒍ᴎ⧚ㄝ໮ᮍ䴶‫خ‬њⳌ݇ⱘ䆎䗄˗㕢೑ Los
Alamos ೑ᆊᅲ偠ᅸⱘᎹ⿟ⷨお᠔ FARRAR ㄝ೼㒧
ᵘ‫ع‬ᒋⲥ⌟ǃ乘⌟ᮍ䴶‫خ‬њ䖲㓁ध᳝៤ᬜⱘ⧚䆎Ϣ
䆩偠ⷨお˗ᖋ೑ᶣᵫ⾥ᡔ໻ᄺ ROBERT ⏅ܹⷨお
њ㺖㒍䕀ᄤⱘࡼ࡯ᄺ㸠Ў˗᮹ᴀбᎲᎹϮ໻ᄺЄ⬄
ゟ໿੠ϝ䞡໻ᄺ CHEN ㄝ ೼ᬙ䱰ᴎ⧚Ϣ⡍ᕕᦤ
পㄝᅲ⫼ᡔᴃᮍ䴶䖯㸠໻䞣ⷨお˗ॄᑺ⧚Ꮉᄺ䰶ⱘ
SEKHAR ㄝ ᄺ㗙ⷨおњ䕀ᄤ㺖㒍ࡼ࡯ᄺ㸠Ўঞ
݊䕼䆚ᮍ⊩˗䯏䙺ἓ੠䰜ќᘩ ෎Ѣ⏋≠੠ߚቨ
⧚䆎ᇍ䕈㋏䴲㒓ᗻࡼ࡯ᄺ㸠Ў䖯㸠њ⏅ܹⷨお˗䩳
ᥬㄝ ⷨおњ⦄ҷ໻ൟ໡ᴖᴎ⬉㋏㒳㗺ড়ᴎ⧚䯂
乬˗㻮⽣⺞ㄝ ೼ᇣ⊶বᤶ⧚䆎ⷨおঞ䕀ᄤ⺄ᨽ
ᬙ䱰ᴎ⧚ㄝᮍ䴶পᕫњᰒ㨫ⱘ䖯ሩDŽ
೼ֵো໘⧚Ϣ䆞ᮁᮍ⊩ᮍ䴶
Ң䖤㸠ࡼᗕֵোЁᦤপߎᬙ䱰ᕕ‫ˈܚ‬ᰃᴎẄᬙ
䱰䆞ᮁⱘᖙ㽕ᴵӊDŽ2006 ᑈˈࡴᣓ໻䭓ᳳҢџ㓈ᡸ
Ϣৃ䴴ᗻⷨおⱘ ANDREW ㄝ 㓐䗄њ㾚ᚙ㓈ᡸЁ
ⱘ䆞ᮁϢ㓈ᡸˈᣛߎֵো໘⧚੠ᬙ䱰䆞ᮁㄝᮍ⊩䳔
㽕㒻㓁⏅ܹⷨお˗2011 ᑈ偀ᴹ㽓Ѯⱘ MOHAMMAD
ㄝ ᔦ㒇њ৘⾡ᐌ㾕䕀ᄤᬙ䱰㉏ൟˈ䅼䆎њ৘⾡⢊
ᗕⲥ⌟Ϣֵো໘⧚ᮍ⊩ⱘॳ⧚Ϣ⡍⚍ˈᘏ㒧њᔧࠡ
䕀ᄤᬙ䱰䆞ᮁЁপᕫⱘ৘⾡ⷨお៤ᵰ˗㕢೑Ԥ⊏Ѯ
⧚Ꮉᄺ䰶 GEBRAEEL ㄝ ೼ᴎᑞࠊ䗴Ϣᇓੑ乘⌟
ⱘⷨおЁᦤߎњᮄᗱ䏃˗㕢೑ᮃഺ⽣໻ᄺ IHN
೼໡ড়ᴤ᭭㒧ᵘ‫ع‬ᒋⲥ⌟ᮍ䴶পᕫњᰒ㨫ⱘⷨお៤
ᵰ˗㕢೑ᒋ⍙⢘Ḑ໻ᄺ ROBERT Ϣϰफ໻ᄺ YAN
1968
SOHRE
[6-7]
600
[8]
Mosanto
[9]
[10]
[11]
[12]
[13]
1.2
[14]
[15]
[16]
[17]
[18-19]
[20]
[21-22]
1.3
[23]
[24]
[25]
[26]
᳜
2013
ᑈ ᳜
⥟೑ᔾㄝ˖ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおĀԩএԩҢā
1
ㄝ ߎ⠜њᬙ䱰䆞ᮁⱘᇣ⊶ϧ㨫˗㕢೑Ԥ⊏Ѯ⧚
Ꮉᄺ䰶ᱎ㛑᥻ࠊ㋏㒳ᅲ偠ᅸ VACHTSEVANOS ᬭ
ᥜㄝ䩜ᇍⳈछᴎⱘ䆞ᮁᓔሩⷨおᎹ԰˗㣅೑᳐ᕏᮃ
⡍੠જᖋ㧆ᇨᖋ໻ᄺⱘ BALL ᠔೼ಶ䯳䭓ᳳҢџᬙ
䱰䆞ᮁⱘⷨおᎹ԰ ˗㣅೑䇶㧆ᇨᖋ໻ᄺǃफᅝ᱂
乓໻ᄺǃࠥḹ໻ᄺㄝ䭓ᳳ㟈࡯Ѣ䆒໛೼㒓ⲥ⌟Ϣᤳ
Ӹ䆚߿ⱘⷨおᎹ԰ ˗⊩೑䋵Ⲃ඗⍙ᡔᴃ໻ᄺ
ANTONI ϔⳈ㟈࡯Ѣᬙ䱰ֵো໘⧚Ϣ⡍ᕕᦤপⱘ
ᑩሖⷨお˗Ꮰ㜞Խ⡍䳋໻ᄺ FASSOIS ೼䱣ᴎᤃࡼᑨ
⫼Ѣ㒧ᵘ‫ع‬ᒋⲥ⌟ᮍ䴶䖯㸠ⷨおDŽࡴᣓ໻䰓ᇨԃศ
໻ᄺ LEI ㄝ ᇍ啓䕂ㄝ‫݌‬ൟ䳊䚼ӊⱘᬙ䱰䆞ᮁᮍ⊩
䖯㸠њ⏅ܹⷨお˗▇໻߽Ѯᙝሐ໻ᄺ SU ㄝ 䭓ᳳ
Ңџ໡ড়ᴤ᭭‫ع‬ᒋⲥ⌟ⷨおᑊᦤߎњ᭄ⷕᣛ㒍ⱘᮄ
ὖᗉ˗▇໻߽Ѯᮄ࿕ᇨ຿໻ᄺ ANTONI ㄝ ϔⳈ㟈
࡯Ѣᬙ䱰ֵো໘⧚Ϣ⡍ᕕᦤপⱘᑩሖⷨお˗ᴼনᄤ
ㄝ ೼‫ܜ‬䖯ࠊ䗴ᡔᴃ੠ᬙ䱰䆞ᮁᮄᡔᴃㄝᮍ䴶প
ᕫϔ㋏߫៤ᵰ˗ሜṕ⫳ǃԩℷ௝ㄝ 䭓ᳳ㟈࡯Ѣ
ܼᙃ䈅ǃᇣ⊶বᤶㄝ‫ܜ‬䖯ᬙ䱰䆞ᮁᡔᴃⱘᑩሖⷨお˗
ᓴ㦍ㄝ 䞛⫼䱣ᴎ݅ᤃᡔᴃЎᮽᳳᖂᔅᬙ䱰Ẕ⌟
ᓔ䕳њᮄ䗨ᕘ˗䰜䖯ㄝ ೼ֵো໘⧚ᡔᴃϢᬙ䱰䆞
ᮁϧᆊ㋏㒳ㄝᮍ䴶䖯㸠њ໻䞣ⷨお˗ϕᒋ 䭓ᳳҹ
ᴹ 㟈 ࡯ Ѣ ⷨ お ᖿ 䗳 ٙ 䞠 ৊ ব ᤶ (Fast Fourier
transform, FFT)ֵো໘⧚ᮍ⊩DŽ
೼ᱎ㛑‫އ‬ㄪϢ䆞ᮁᮍ䴶
ᱎ㛑ᬙ䱰䆞ᮁᰃ῵ᢳҎ㉏ᗱ㓈ⱘ᥼⧚䖛⿟ˈ䗮
䖛᳝ᬜഄ㦋পǃӴ䗦੠໘⧚䆞ᮁֵᙃˈ㛑໳῵ᢳҎ
㉏ϧᆊˈҹ♉⌏ⱘ䆞ᮁㄪ⬹ᇍⲥ⌟ᇍ䈵ⱘ䖤㸠⢊ᗕ
੠ᬙ䱰‫ߎخ‬ᱎ㛑߸ᮁ੠‫އ‬ㄪDŽᱎ㛑ᬙ䱰䆞ᮁ‫݋‬᳝ᄺ
дࡳ㛑੠㞾ࡼ㦋প䆞ᮁֵᙃᇍᬙ䱰䖯㸠ᅲᯊ䆞ᮁⱘ
㛑࡯DŽ໡ᴖᴎẄ䆒໛ᬙ䱰ⱘᱎ㛑䆞ᮁᡔᴃϢᅲ⫼䆞
ᮁ㋏㒳ˈᰃᅲ⦄ᴎẄᬙ䱰䆞ᮁⱘᑨ⫼݇䬂DŽ2001 ᑈˈ
㙪‫ع‬ढ ⷨおњᬙ䱰䆞ᮁЁⱘᬃᣕⶶ䞣ᴎ⧚䆎˗
[27-28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36-38]
[39-40]
[41]
[42]
1.4
[43]
乍Ⳃ
ᡍ‫ޚ‬ো ⬇䇋ҷⷕ
50335030
E050302
50635010
E050302
50935005
E050302
51035007
E050302
51035008
E050302
51135001
E0503
2002 ᑈˈᓴ਼䫕
65
ᇍ෎Ѣᬃᣕⶶ䞣ᴎⱘ໮ᬙ䱰ߚ㉏
఼䖯㸠њⷨお˗2007 ᑈ䶽೑ᄺ㗙 WIDODO ㄝ 㓐
䗄њᬃᣕⶶ䞣ᴎ೼ᴎẄᬙ䱰䆞ᮁЁⱘⷨお䖯ሩ੠ࠡ
᱃DŽ2009 ᑈ㕢೑֘ࢦ‫ݜ‬Ꮂゟ໻ᄺ KRUZIC ᬭᥜ
೼ljScienceNJ㨫᭛ĀPredicting fatigue failuresāᔎ
䇗㒧ᵘ⮆ࢇᇓੑ乘⌟ⷨおⱘ䞡㽕ᗻ˗2009 ᑈ▇໻߽
Ѯᄺ㗙
㓐䗄њᮟ䕀ᴎẄᬙ䱰䆞ᮁᡔᴃⷨ
お䖯ሩˈᔎ䇗㒧ড়ⳳᅲᎹ‫މ‬ᓔሩᬙ䱰䆞ᮁⷨおⱘ䞡
㽕ᗻ˗㕢೑ᆚᠻᅝ໻ᄺ‫ݯ׾‬ǃ䕯䕯䙷ᦤ໻ᄺᴢᵄㄝ
೼㕢೑㞾✊⾥ᄺ෎䞥 ⱘ䌘ࡽϟˈ㘨ড়ᎹϮ⬠݅
ৠ៤ゟњĀᱎ㛑㓈ᡸ㋏㒳 Ёᖗāˈᮼ೼ⷨおᴎ
Ẅ䆒໛ᗻ㛑㹄䗔ߚᵤ੠乘⌟ᗻ㓈ᡸᮍ⊩ ˗催䞥
ঢ় ᔦ㒇ᘏ㒧њᮟ䕀ᴎẄᐌ㾕ᬙ䱰ᴎ⧚ঞ݊ᕕ‫ܚ‬
੠㞾ᛜ䆞ᮁᮍ⊩ˈᦤߎњᕔ໡य़㓽ᴎ䆞ᮁⱘ‫ֵߏކ‬
োߚᵤ⊩ㄝ˗ᴼ㒡᱂ǃ❞䆫⊶ǃᴼϪ䫵ǃ咘᭛㰢ǃ
ᕤᇣ࡯ǃ⾺ᷥҎǃ䶽᥋ǃѢᖋҟ੠ᴢᄺ‫ݯ‬ㄝ 䭓
ᳳҢџᴎẄ⢊ᗕⲥ⌟Ϣᬙ䱰䆞ᮁᡔᴃⱘⷨおDŽ೑‫ݙ‬
೼䆞ᮁ㋏㒳ⱘⷨথᮍ䴶পᕫњᕜདⱘ៤ᵰDŽ
೼೑‫ˈݙ‬೑ᆊ㞾✊⾥ᄺ෎䞥ྨਬӮ
䴲ᐌ
䞡㾚ᇍᴎẄᬙ䱰䆞ᮁ乚ඳӬ࢓乍Ⳃⱘ෍㚆ǃӬ䗝੠
䌘ࡽᎹ԰DŽⳂࠡˈ䆹乚ඳⱘ乍Ⳃ⬇䇋Џ㽕䲚Ё೼
ᴎẄᎹ⿟ᄺ⾥ ҷⷕ ⱘ
ᴎẄࡼ࡯
ᄺǃ
ᴎẄ㒧ᵘᔎᑺᄺ ǃ
ࠊ䗴㋏㒳Ϣ
㞾ࡼ࣪ ੠
ᴎẄ⌟䆩⧚䆎Ϣᡔᴃ ㄝ ϾѠ㑻
ҷⷕDŽ᥂㒳䅵ˈ ̚ ᑈ ҷⷕ݅䌘ࡽᴎẄ
ᬙ䱰䆞ᮁ乚ඳ䴶Ϟ乍Ⳃǃ䴦ᑈ⾥ᄺ෎䞥੠ഄऎ⾥ᄺ
ϛ‫ܗ‬DŽ䌘ࡽ᭄
෎䞥乍Ⳃ 乍ˈ䌘ࡽ㒣䌍
䞣੠㒣䌍Ң ᑈᓔྟ᳝䕗໻๲䭓ˈ ᑈ݅䅵
䌘ࡽ 乍ˈ䌘ࡽ㒣䌍ᘏ䅵 ϛ‫ܗ‬DŽℸ໪ˈᴎẄ
Ꮉ⿟ᄺ⾥೼ĀकѨā㟇ĀकѠѨāᳳ䯈ˈ䌘ࡽϢᴎ
Ẅᬙ䱰䆞ᮁⳈ᥹Ⳍ݇ⱘ䞡⚍乍Ⳃ 乍 乍Ⳃ⏙ऩབ
ϟ㸼᠔⼎ ˈ䌘ࡽ㒣䌍 ϛ‫ܗ‬DŽ
[44]
[45]
[46]
HENG
[47]
(NSF)
(IMS)
[48]
[49]
[50-51]
(NSFC)
NSFC
)
(E05
)
E0504(
)
)
E0503(
E0510(
E0511(
1986
)
2011
E05
440
16 170.4
2009
2011
91
6 154
6
)
㸼 ᴎẄᬙ䱰䆞ᮁ乚ඳ䌘ࡽⱘ䞡⚍乍Ⳃϔ㾜㸼
乍Ⳃৡ⿄
䋳䋷Ҏ
໻ൟ໡ᴖᴎ⬉㋏㒳ᮽᳳᬙ䱰ᱎ㛑乘⼎ⱘ⧚䆎Ϣᡔᴃ
ᴎẄ໡ᴖ㋏㒳ᓎ῵ӓⳳǃ䖤㸠Ӭ࣪੠㞾ᛜ䇗᥻⧚䆎
Ϣᮍ⊩
෎Ѣ‫ܝ‬㑸‫ܝ‬ᷙӴᛳⱘ໡ᴖᴎẄ㋏㒳ᤳӸࡼᗕⲥ⌟
෎⸔⧚䆎Ϣ݇䬂ᡔᴃ
݇䬂䆒໛ᬙ䱰乘⼎Ϣ䖤㸠ᅝֱܼ䱰ⱘᮄ⧚䆎੠ᮄ
ᡔᴃ
෎ѢሔඳᔎֵোϢԡඳぎ䯈বᤶⱘ݇䬂Ӵࡼ䆒໛
ᬙ䱰乘⼎Ϣ䆞ᮁᮍ⊩ⷨお
䗣ᑇᴎẄ໡ᴖᴎ⬉㋏㒳ࡼ࡯ᄺ㸠ЎϢᤃࡼǃాໄ䵊
৥ᡥࠊॳ⧚ঞᮍ⊩ⷨお
ԩℷ௝
催䞥ঢ়
਼⼪ᖋ
ԩℷ௝
䚉↙ᬣ
4
(
1 330
䌘ࡽ䞥
ᡓᢙऩԡ
乱 ϛ‫ܗ‬
㽓ᅝѸ䗮໻ᄺˈ໾ॳ⧚Ꮉ໻
ᄺˈϞ⍋Ѹ䗮໻ᄺ
࣫Ҁ࣪Ꮉ໻ᄺ
℺∝⧚Ꮉ໻ᄺˈढЁ⾥ᡔ໻
ᄺˈ≜䰇থࡼᴎ䆒䅵ⷨお᠔
㽓ᅝѸ䗮໻ᄺˈ໾ॳ⧚Ꮉ໻
ᄺˈϞ⍋Ѹ䗮໻ᄺ
䞡ᑚ໻ᄺˈ
/
ᯊ䯈
200
2004.1
150
2007.1
200
2010.1
250
2011.1
240
2011.1
290
2012.1
Queen’s University,
University of Huddersfield
催䞥ঢ় ࣫Ҁ࣪Ꮉ໻ᄺ
̚
2007.12
̚
2010.12
̚
2013.12
̚
2014.12
̚
2014.12
̚
2016.12
ᴎ Ẅ Ꮉ ⿟ ᄺ ᡹
66
2
ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおⱘさߎ䖯ሩ
䖥ᑈᴹ೑‫ݙ‬໪ᄺ㗙೼ᴎẄᬙ䱰䆞ᮁⱘ෎⸔ⷨ
お੠䞡໻Ꮉ⿟ᑨ⫼ᮍ䴶পᕫњさߎ䖯ሩˈ೑໪䞡⚍
ҹ䕀ᄤᬙ䱰ᴎ⧚੠㒣偠῵ᓣߚ㾷ᮍ⊩䖯㸠ҟ㒡˗೑
‫݌ݙ‬ൟⱘॳ߯ᗻ៤ᵰབপᕫњܼᙃ䈅ǃᤃࡼᬙ䱰⊏
⧚Ϣ䴲㒓ᗻࡼ࡯ᄺǃᇣ⊶᳝䰤‫ܗ‬㺖㒍䆞ᮁ੠㋏㒳ᬙ
䱰㞾ᛜ䆞ᮁㄝˈㅔ㽕ҟ㒡བϟDŽ
1924 ᑈˈNEWKIRK ㄝ
থ⦄ᕅડ䕀ᄤ〇
ᅮᗻⱘ⊍㝰⍵ࡼ⦄䈵ˈ䖭ᰃ݇Ѣ䕀ᄤ〇ᅮᗻⷨおⱘ
䕗ᮽ᭛⤂DŽ㕢೑ⱘ MUSZYNSKA ㄝ 䩜ᇍ䕀ᄤ䕈ᡓ/ᆚᇕ㋏㒳ˈⷨおњ⒥ࡼ䕈ᡓⱘ⊍㝰⍵ࡼ੠⊍
㝰ᤃ㤵ᴎ⧚ˈᑊᇍ䕀ᄤ⺄ᨽǃ⇨⌕▔ᤃㄝ‫݌‬ൟᬙ䱰
ᴎ⧚੠⡍ᕕ䖯㸠њ䆩偠੠⧚䆎ⷨおˈЎᴎẄᬙ䱰ⱘ
ֵো⡍ᕕᦤপᦤկњ⧚䆎෎⸔DŽ೼ֵো⡍ᕕᦤপᮍ
䴶ˈ1998 ᑈ㕢㈡ढҎ HUANG ㄝ ߯䗴ᗻഄᦤߎ
њᴀᕕ῵ᓣߑ᭄(Intrinsic mode function, IMF)ⱘὖ
ᗉˈҹঞᇚӏᛣֵোߚ㾷Ўᴀᕕ῵ᓣߑ᭄㒘៤ⱘᮄ
ᮍ⊩-㒣偠῵ᓣߚ㾷(Empirical mode decomposition,
EMD)˗೼ℸ෎⸔Ϟˈ2004 ᑈ FLANDRIN ㄝ ⏅
ܹⷨお䱣ᴎᑣ߫ⱘ EMD ㄝᬜⒸ⊶఼㒧ᵘˈ៤Ўϔ
Ͼ䞡㽕ⱘ EMD ⧚䆎ⷨお෎⸔˗2009 ᑈ WU ㄝ
ᦤߎњᘏԧᑇഛ㒣偠῵ᓣߚ㾷(Ensemble empirical
mode decomposition, EEMD)ᮍ⊩ˈ䗮䖛⏏ࡴⱑాໄ
Փֵো೼ϡৠሎᑺϞ䖲㓁ˈҢ㗠᳝ᬜഄ㾷‫އ‬њ῵ᓣ
⏋⎚䯂乬DŽ
ሜṕ⫳ 佪߯њᴎẄᬙ䱰䆞ᮁܼᙃ䈅ᡔᴃˈ䆹
ᡔᴃさ⸈њӴ㒳ߚᵤᮍ⊩ⱘሔ䰤ᗻˈԧ⦄њ䆞ᮁֵ
ᙃܼ䴶߽⫼ǃ㓐ড়ߚᵤⱘᗱᛇDŽܼᙃ䈅ᡔᴃᰃ෎Ѣ
໮Ӵᛳ఼ֵᙃ䲚៤੠㵡ড়ⱘ‫ܜ‬䖯䆞ᮁᮍ⊩ˈᅗᇚᴎ
㒘Ϟ໮ϾӴᛳ఼ᬊ䲚ࠄⱘֵᙃ᳝ᴎഄ䲚៤੠㵡ড়೼
ϔ䍋ˈ߽⫼њᴎ㒘ⱘ໮৥ᤃࡼֵোˈҹঞ↣ϔᮍ৥
Ϟᤃࡼֵোⱘᐙؐǃ乥⥛੠Ⳍԡֵᙃˈᇍ乥䈅Ϟⱘ
䈅㒓ࡴҹ䲚៤㗠ᔶ៤ⱘ䈅೒៪㗙䕈ᖗ䔼䗍ˈࣙᣀѠ
㓈ܼᙃ䈅ǃϝ㓈ܼᙃ䈅ǃᦤ㒃䕈ᖗ䔼䗍ǃড়៤䕈ᖗ
䔼䗍ǃⒸ⊶䕈ᖗ䔼䗍ǃܼᙃ◥Ꮧ೒ǃⷁᯊ໡䈅੠ⷁ
ᯊ䕈䈅ㄝDŽ‫݌‬ൟབܼᙃࡼᑇ㸵ᡔᴃˈ߽⫼䕀乥ἁ೚
Ϟ߱ྟⳌ⚍ҹঞϝ㓈ܼᙃ䈅ⱘব࣪ˈ㛑໳⹂ᅮ䕀ᄤ
ϡᑇ㸵䞣ⱘ‫⹂ޚ‬䜡䞡ˈҢ㗠ৃҹ᳝ᬜ‫ޣ‬ᇥ䆩䞡䍋䔺
⃵᭄DŽⳂܼࠡᙃ䈅䆞ᮁᡔᴃᏆ㒣៤Ўᮟ䕀ᴎẄᬙ䱰
䆞ᮁⱘ᳝ᬜ᠟↉ˈᑓ⊯ഄᑨ⫼ѢᴎẄǃ࣪Ꮉǃ⷇࣪ǃ
⬉࡯ǃ‫ފ‬䞥ҹঞᓎᴤㄝ㸠ϮЁ໻ൟᮟ䕀ᴎẄ䖤㸠⢊
ᗕⱘⲥ⌟੠䆞ᮁDŽ䆹ᡔᴃ䖬ߎ⠜њljᴎẄᬙ䱰ⱘܼ
ᙃ䆞ᮁॳ⧚NJϧ㨫ˈ݊ⷨお៤ᵰĀᶨᗻ䕀ᄤܼᙃ⦄
[52-53]
[54-56]
[57]
[58]
[59]
[36]
㄀ ो㄀ ᳳᳳ
49
1
എࡼᑇ㸵ᡔᴃঞ݊ᑨ⫼ā㦋ᕫ ᑈ೑ᆊᡔᴃথᯢ
Ѡㄝ༪DŽ
䰜ќᘩㄝ䩜ᇍ໻ൟᮟ䕀ᴎẄⱘᤃࡼᬙ䱰⡍⚍
䖯㸠㓐ড়ߚᵤˈさ⸈Ӵ㒳ҹ㒓ᗻ⧚䆎Ў෎⸔ⱘᬙ䱰
ᓎ῵੠ߚᵤᮍ⊩ˈᦤߎњ 乍䞡໻ᬙ䱰ⱘ䴲㒓ᗻ㓐
ড়⊏⧚ᮄᡔᴃDŽᇍ ㉏䞡໻ᬙ䱰ˈߚ߿䖯㸠њ䴲㒓
ᗻࡼ࡯ᄺᓎ῵੠ߚᵤˈᧁ⼎њ䞡໻ᤃࡼᬙ䱰ᴎ⧚Ϣ
㋏㒳খ᭄П䯈ⱘⳌ݇㾘ᕟˈᯢ⹂њ෎Ѣ㋏㒳ડᑨⱘ
ᬙ䱰߸߿⡍ᕕˈᑊ䖯㸠њ䆩偠偠䆕DŽ 乍㓐ড়⊏⧚
ᮄᡔᴃЏ㽕ࣙᣀ˖ķ 䕈㋏ ᬃᩥ‫݅ݙ‬ᤃ㓐ড়⊏⧚ᡔ
ᴃ˗ĸ ‫أ‬ᖗ ⍺⒥খ᭄㓐ড়⊏⧚ᡔᴃ˗Ĺ 㺖㒍㉏ൟ
㓐ড়⊏⧚ᡔᴃ˗ĺ ⺄ᨽ㓐ড়⊏⧚ᡔᴃ˗Ļ 䕈㋏ϡ
ᑇ㸵ⱘ䴲㒓ᗻ⊏⧚ᡔᴃDŽ䖭ѯ⊏⧚ᡔᴃⱘ݅ৠ⡍⚍˖
ᇚ৘⾡಴㋴㓐ড় Ѹঝǃ݇㘨੠㗺ড় 㗗㰥ˈҹ䖒ࠄ
ᇍ৘㉏ᬙ䱰ᷛᴀ‫ⱘⳂⱘ⊏ݐ‬DŽ䆹ᡔᴃߎ⠜њljᴎẄ
㺙໛䴲㒓ᗻࡼ࡯ᄺϢ᥻ࠊⱘ݇䬂ᡔᴃNJㄝϧ㨫 ˈ
݊ⷨお៤ᵰĀ໻ൟᮟ䕀ᴎẄ੠ᤃࡼᴎẄ䞡໻ᤃࡼᬙ
䱰⊏⧚Ϣ䴲㒓ᗻࡼ࡯ᄺ䆒䅵ᡔᴃā㦋ᕫ ᑈᑺ೑
ᆊ⾥ᡔ䖯ℹѠㄝ༪DŽ
ԩℷ௝ㄝ ᦤߎњ෎Ѣᇣ⊶᳝䰤‫ⱘܗ‬䕀ᄤ
㺖㒍ᅮ䞣䆞ᮁᮍ⊩DŽ໻ൟಲ䕀ᴎẄ಴㒧ᵘ㺖㒍ᇐ㟈
ⱘ༅ᬜऴ ҹϞˈ㺖㒍䖭ϔĀ䱤ᔶᴔ᠟ā㹿ᔶ䈵
ഄ⿄Ў໻ൟಲ䕀ᴎẄᅝܼ䖤㸠ⱘĀⰠ⮛āˈ‫݋‬᳝䲒থ
⦄ǃᯧᠽሩǃᔎ⸈ണⱘ⡍⚍ˈ㺖㒍㹿⿄Ўᮟ䕀ᴎẄ
ϝ໻ᬙ䱰ПϔDŽ䆹ᡔᴃ䩜ᇍ㺖㒍ࡼᗕᅮ䞣䆞ᮁˈথ
ᯢњᇣ⊶᳝䰤‫ܗ‬ᵘ䗴ᮍ⊩ˈᓎゟњ㺖㒍ԡ㕂ǃ㺖㒍
⏅ᑺϢ㺖㒍㒧ᵘⱘࠡϝ䰊೎᳝乥⥛П䯈ⱘᇣ⊶᳝䰤
‫ܗ‬῵ൟ˗থᯢњ䖤㸠῵ᗕখ᭄䆚߿ᮄᮍ⊩ˈᦤপࠄ
䞡໻㺙໛䖤㸠Ё㺖㒍㒧ᵘⱘࠡϝ䰊೎᳝乥⥛˗থᯢ
њ㒧ᵘ㺖㒍ⱘࡼᗕᅮ䞣䆞ᮁᮍ⊩ˈᇚᦤপⱘࠡϝ䰊
೎᳝乥⥛ҷܹᇣ⊶᳝䰤‫ܗ‬῵ൟ㦋ᕫϝᴵડᑨ᳆㒓ˈ
Ң㗠ᅮ䞣䆞ᮁߎ㺖㒍ԡ㕂Ϣ㺖㒍⏅ᑺDŽ䆹ᡔᴃ៤ᵰ
೼⬉࡯ǃ⷇࣪ǃ‫ݯ‬Ꮉㄝ乚ඳ㦋ᕫ៤ࡳᑨ⫼ˈৠᯊ䖬
ߎ⠜њljᇣ⊶᳝䰤‫ܗ‬ঞ݊Ꮉ⿟ᑨ⫼NJϧ㨫ˈ݊ⷨお
៤ᵰĀ໻ൟಲ䕀ᴎẄ㒧ᵘ㺖㒍ⱘࡼᗕᅮ䞣䆞ᮁᡔᴃ
Ϣᑨ⫼ā㦋ᕫњ ᑈ೑ᆊᡔᴃথᯢѠㄝ༪DŽ
催䞥ঢ় 䖥ᑈᴹ߯ᮄᦤߎњ㺙໛㋏㒳ᬙ䱰㞾
ᛜ䆞ᮁॳ⧚DŽ㺙໛ᬙ䱰ৃ৺೼݊䖤㸠Ёᕫࠄ᥻ࠊ៪
㞾㸠⍜䰸˛ᬙ䱰㛑৺‫ڣ‬Ҏ੠ࡼ⠽ⱘ⮒⮙ϔḋৃҹ
Ā㞾ᛜā˛䖭ϔⳈᰃϔᡍᄺ㗙೼‫ݹ‬ᗱ㢺ᛇⱘᄺᴃ䯂
乬ˈ催䰶຿ⷨおᦤ‫׵‬ᓔথϔ⾡ᮄⱘϢ㺙໛ᬙ䱰԰᭫
ѝⱘ⧚䆎੠ᮍ⊩ˈᮼ೼ᬍবҙ䴴㋻ᗹ‫ذ‬䔺ֱᡸᴎ఼
੠ᅠܼ䴴ҎᴹẔׂ⍜䰸ᬙ䱰ⱘӴ㒳ᮍ⊩DŽ䖭⾡⧚䆎
Ϣᮍ⊩জ᳝߿Ѣ䆒໛䆞ᮁϢ乘ⶹ㓈ׂᡔᴃˈᰃⷨお
Փ㺙໛㋏㒳‫݋‬໛ᬙ䱰㞾ᛜࡳ㛑ˈ೼䖤㸠ЁĀ㞾㸠ā
2003
5
5
5
-
-
(
)
[60]
2005
[61-62]
80%
2009
[63]
᳜
2013
ᑈ ᳜
⥟೑ᔾㄝ˖ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおĀԩএԩҢā
1
67
⿟ᑺⱘথሩˈ݊⡍ᕕ⊶ᔶгӮথ⫳ᬍবDŽ䖥ᑈᴹˈ
ᑓ⊯ᑨ⫼ⱘٙ䞠৊বᤶǃⷁᯊٙ䞠৊বᤶǃᇣ⊶ব
ᤶǃ㄀Ѡҷᇣ⊶বᤶ੠໮ᇣ⊶বᤶㄝৃҹ䇈䛑ᰃ෎
Ѣ‫ⱘ⧚ॳ⿃ݙ‬⡍ᕕ⊶ᔶ෎ߑ᭄ֵোߚ㾷ˈᮼ೼♉⌏
䖤⫼Ϣ⡍ᕕ⊶ᔶⳌऍ䜡ⱘ෎ߑ᭄এ᳈དഄ໘⧚ֵ
োˈᦤপᬙ䱰⡍ᕕˈҢ㗠ᅲ⦄ᬙ䱰䆞ᮁ DŽ
ᬙ䱰䆞ᮁᮍ⊩ⷨおЁᦤߎњ䆌໮᳝ᬜⱘĀᳯ䯏
ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおᄬ೼ⱘ䯂乬
䯂⌟ā䆞ᮁ᠟↉ˈԚᰃ䩜ᇍᮽᳳᬙ䱰ǃᖂᔅᬙ䱰ǃ
ᬙ䱰ᴎ⧚ⷨおϡ䎇
໡ড়ᬙ䱰ǃ㋏㒳ᬙ䱰ㄝⱘ䆞ᮁᮍ⊩䖬ᄬ೼ϡ䎇ˈৃ
ᬙ䱰ᴎ⧚ᰃᣛ䗮䖛⧚䆎៪໻䞣ⱘ䆩偠ߚᵤˈᕫ 䴴ⱘ䆞ᮁᮍ⊩᳝䰤DŽᴎẄ䆒໛䖤㸠䖛⿟Ёϡৃ䙓‫ܡ‬
ࠄড᯴䆒໛ᬙ䱰⢊ᗕֵোϢ䆒໛㋏㒳খ᭄П䯈ⱘ㾘 ѻ⫳ᤳӸ੠ߎ⦄ᮽᳳᬙ䱰ˈᅗ‫݋‬᳝┰೼ᗻ੠ࡼᗕડ
ᕟ ˈ݊‫݋‬ԧⱘⷨお䖛⿟བϟ˖佪‫ܜ‬ḍ᥂ⷨおᇍ䈵 ᑨⱘᖂᔅᗻ˗໡ড়ᬙ䱰੠㋏㒳ᬙ䱰⬅Ѣ໮಴㋴㗺ড়
ⱘ⠽⧚⡍⚍ˈᓎゟⳌᑨ᭄ᄺ࡯ᄺ῵ൟ˗✊ৢ䗮䖛ӓ ੠Ӵ䗦䏃ᕘ໡ᴖˈᕔᕔᇐ㟈ऩϔⱘֵো໘⧚ᮍ⊩䲒
ⳳⷨお㦋ᕫ݊ડᑨ⡍ᕕ˗‫ݡ‬㒧ড়䆩偠ׂℷ῵ൟˈ‫ ޚ‬ҹ᳝ᬜ⒃⑤ᬙ䱰៤಴DŽгℷ಴Ўབℸˈᇐ㟈བ㟾ぎ
⹂㦋ⶹᶤϔᬙ䱰ⱘ㸼ᕕDŽ䖭ϔড໡ᓣⱘⷨお䖛⿟ᰃ থࡼᴎᤃࡼᬙ䱰䆞ᮁ㟇Ҟ≵᳝ᕜདⱘ㾷‫އ‬ᮍ⊩DŽ
ᱎ㛑䆞ᮁ㋏㒳㭘ᔅ
ᬙ䱰ᴎ⧚ঞᬙ䱰ᕕ‫ⷨܚ‬おⱘ᳝ᬜ᠟↉ˈгᰃᴎẄᬙ
䱰䆞ᮁᡔᴃⱘ䞡㽕෎⸔੠ձ᥂DŽ⬅Ѣ䗮ᐌ㦋ᕫᶤϔ
䱣ⴔᴎẄ㺙໛ⱘ໻ൟ࣪ǃ໡ᴖ࣪ǃ催䗳࣪ǃ㞾
㋏㒳䕗ܼ䴶ⱘᬙ䱰᭄᥂ḋᴀᰃϡ⦄ᅲⱘˈ಴ℸা᳝ ࡼ࣪੠ᱎ㛑࣪ˈ䖿ߛ䳔∖㵡ড়ᱎ㛑Ӵᛳ㔥㒰ǃᱎ㛑
䗮䖛ᴎ⧚ӓⳳⷨおˈᠡ㛑ᇍ㋏㒳᳾ⶹᬙ䱰੠ᔅᬙ䱰 䆞ᮁㅫ⊩੠ᱎ㛑‫އ‬ㄪ乘⼎ⱘᱎ㛑䆞ᮁ㋏㒳ǃϧᆊӮ
䖯㸠᳝ᬜⱘ乘ⶹ੠䆚߿ˈҹ䙓‫ܡ‬ⓣ䆞੠䇃䆞DŽ
䆞ᑇৄ੠䖰⿟䆞ᮁᡔᴃㄝDŽϡৠ㉏ൟⱘᱎ㛑䆞ᮁᮍ
⦄᳝ⷨおЁᇍᴎẄᬙ䱰ᴎ⧚ⷨお䞡㾚ϡ䎇ˈᕜ ⊩䩜ᇍᶤϔ⡍ᅮⱘǃⳌᇍㅔऩⱘᇍ䈵䖯㸠ᬙ䱰䆞ᮁ
໮‫݌‬ൟᬙ䱰⡍ᕕ䛑ᰃ⊓⫼㒣‫ⱘ݌‬៤ᵰˈབ㺖㒍䕀ᄤ ᯊ᳝݊৘㞾ⱘӬ⚍੠ϡ䎇ˈ՟བϧᆊ㋏㒳䆞ᮁᡔᴃ
ⱘ‫ס‬乥ડᑨᰃ
೼ Ϫ㑾 ᑈҷ㒭ߎⱘⷨ ᄬ೼ⶹ䆚㦋পĀ⫊乜āˈ㔎У᳝ᬜⱘ䆞ᮁⶹ䆚㸼䖒ᮍ
お㒧䆎DŽᬙ䱰ᴎ⧚ⷨおϡ䎇ⱘЏ㽕ॳ಴˖ķ ໻ൟ㺙 ᓣˈ᥼⧚ᬜ⥛Ԣ˗⼲㒣㔥㒰䆞ᮁᡔᴃ䳔㽕ⱘ䆁㒗ḋ
໛ⱘᬙ䱰ᴎ⧚ⷨお䗮ᐌ䳔㽕⍝ঞ㐕໮ⱘ᭄ᄺ੠࡯ᄺ ᴀ㦋পೄ䲒˗῵㊞ᬙ䱰䆞ᮁᡔᴃᕔᕔ䳔㽕⬅‫ܜ‬偠ⶹ
ⶹ䆚ˈेᎹ⿟㒧ᵘⱘㅔ࣪੠࡯ᄺ῵ൟⱘᓎゟ䛑ᄬ೼ 䆚ҎᎹ⹂ᅮ䲊ሲߑ᭄ঞ῵㊞݇㋏ⶽ䰉ˈԚᅲ䰙Ϟ㦋
䕗໻䲒ᑺ˗ĸ ᬙ䱰ᴎ⧚ⷨお䳔㽕㒧ড়໻䞣ⱘ䆩偠偠 ᕫϢ䆒໛ᅲ䰙ᚙ‫Ⳍމ‬ヺⱘ䲊ሲߑ᭄ঞ῵㊞݇㋏ⶽ䰉
䆕ˈϔϾ῵ൟㅔ࣪ড়⧚ǃᬙ䱰῵ᢳ‫݌‬ൟǃࠊ䗴㊒ᑺ ᄬ೼䆌໮ೄ䲒DŽ
ֱ䆕੠⌟䆩᭄᥂ৃ䴴ⱘ䆩偠ৄˈᕔᕔϡᰃϔᳱϔ໩
⦄᳝ⱘᱎ㛑䆞ᮁ㋏㒳݊䆞ᮁ㛑࡯䖬↨䕗㭘ᔅDŽ
ৃҹᅲ⦄ⱘ˗Ĺ ᅲ偠ᅸ䩜ᇍऩϔᬙ䱰ⱘ‫⹂ޚ‬㸼ᕕˈ 㱑✊᠔䞛⫼ⱘҎᎹᱎ㛑䆞ᮁᮍ⊩ᕜ໮ˈԚ໻䚼ߚᱎ
䖬䳔㽕Ꮉ⿟ᅲ䰙ⱘ偠䆕ˈऩϔⱘᬙ䱰⡍ᕕ೼ᅲ䰙Ꮉ 㛑ᮍ⊩䛑䳔㽕⒵䎇ϔᅮⱘ‫؛‬䆒ᴵӊ੠ҎЎ䆒㕂ϔᅮ
⿟Ёᕔᕔৃ䘛㗠ϡৃ∖DŽ䖬᳝ˈⳂࠡ䩜ᇍᮟ䕀ᴎẄ ⱘখ᭄ˈ಴ℸⷨおЁ䗮䖛ӓⳳ偠䆕ᬙ䱰䆞ᮁㅫ⊩ⱘ
᠔ᓎゟⱘᬙ䱰῵ᢳ䆩偠ৄ੠⧚䆎ⷨお䕗໮ˈԚᰃ䩜 䕗໮DŽѢᰃᱎ㛑䆞ᮁᮍ⊩ᕔᕔ㒭⬭ҎϟĀ咥ࣷᄤā
ᇍᕔ໡ᴎẄ੠ϧ⫼ᴎẄⷨおै‫أ‬ᇥDŽ
੠Ā಴Ҏ㗠ᓖāⱘॄ䈵ˈ䆞ᮁᮍ⊩ⱘ᥼ᑓᗻᕫϡࠄ
ᬙ䱰䆞ᮁᮍ⊩᳝䰤
ᕜདⱘ偠䆕DŽ䖭гህᰃ䇈ˈ㽕ⳳℷᅲ⦄ᱎ㛑䆞ᮁˈ
ᴎẄ䆒໛䆞ᮁ佪‫ܜ‬㽕ߚᵤ䆒໛䖤䕀Ё᠔㦋প া䴴ऩ㒃ϔϸ⾡ᮍ⊩ᰃᕜ䲒⒵䎇㽕∖ⱘˈ݊ᑨ⫼г
ⱘ৘⾡ֵোˈ✊ৢᦤপֵোЁⱘ৘⾡⡍ᕕֵᙃˈҢ Ӯ᳝ϔᅮሔ䰤DŽབᵰᇚ޴⾡ᗻ㛑Ѧ㸹ⱘᱎ㛑ᡔᴃ䗖
Ё㦋পϢᬙ䱰Ⳍ݇ⱘᕕ‫ˈܚ‬᳔㒜߽⫼ᕕ‫ܚ‬䖯㸠ᬙ䱰 ᔧ㒘ড়ǃপ䭓㸹ⷁǃӬ࢓Ѧ㸹ˈ݊㾷‫އ‬䯂乬ⱘ㛑࡯
䆞ᮁDŽᎹ⿟ᑨ⫼ᅲ䏉㸼ᯢϡৠ㉏ൟⱘᴎẄᬙ䱰೼ࡼ Ӯ໻໻ᦤ催DŽ಴ℸˈ䳔㽕䞡⚍ⷨおᕅડ⦄᳝ҎᎹᱎ
ᗕֵোЁӮ㸼⦄ߎϡৠⱘ⡍ᕕ⊶ᔶˈབᮟ䕀ᴎẄ༅ 㛑䆞ᮁᮍ⊩᥼ᑓՓ⫼ⱘ݇䬂⦃㡖ˈᓎゟ೼ᬙ䱰ᴎ⧚
㸵ᤃࡼⱘ⊶ᔶϢℷᓺ⊶ⳌԐ˗‫➗ݙ‬ᴎ➗⟚ᤃࡼ⊶ᔶ ㄝᑩሖ෎⸔ⷨおⱘҎᎹᱎ㛑ᮍ⊩ˈᠡ㛑ᔶ៤ⶹ䆚Є
ᰃ‫݋‬᳝催ᮃߑ᭄ࣙ㒰ⱘ催乥ֵো˗啓䕂੠䕈ᡓㄝᴎ ᆠǃ᥼⧚ℷ⹂ǃ߸ᮁ‫⹂ޚ‬ǃ乘⼎ড়⧚ǃ㒧䆎ৃ䴴ⱘ
Ẅ䳊䚼ӊߎ⦄࠹㨑੠㺖㒍ㄝᬙ䱰ᯊˈᕔ໡ᴎẄⱘ⇨ 䆒໛ᱎ㛑䆞ᮁϢ乘⼎ⱘᅲ⫼ᡔᴃDŽ㽕ᵕ࡯䙓‫ܡ‬াㅔ
㔌ǃ⌏าǃ⇨䯔⺼ᤳ㔎䱋ˈ݊䖤㸠Ёѻ⫳‫ߏކ‬ᤃࡼ ऩഄ‫ࡽ׳‬ҎᎹᱎ㛑ᮍ⊩੠ᡔᴃ䖯㸠䆒໛ᱎ㛑䆞ᮁⱘ
ਜ⦄᥹䖥ऩ䖍ᤃ㤵㹄‫ⱘޣ‬ડᑨ⊶ᔶˈ㗠Ϩ䱣ⴔᤳӸ ᑨ⫼ˈ㗠ᗑ㾚ᑩሖ෎⸔ⷨおDŽ≵᳝ᑩሖⱘᴎẄᬙ䱰
⍜䰸ᬙ䱰ⱘᮄॳ⧚੠ᮄᮍ⊩DŽ䆹ᮍ⊩೼㋏㒳⾥ᄺⱘ
ᣛᇐϟˈ⿏ỡ⦄ҷएᄺĀ㞾Џ䇗⧚ā⊏⭫ॳ⧚ˈࣙ
ᣀ‫⭿ܡ‬ǃ䰆ᕵǃҷٓǃ㞾ׂ໡੠䗖ᑨㄝˈৃҹ⫼ᴹ
ᣛᇐⷨお㺙໛㞾ᛜॳ⧚ঞᎹ⿟ᑨ⫼ˈᇚЎⷨࠊߎ‫݋‬
᳝㞾ᛜࡳ㛑ⱘᮄϔҷᱎ㛑㺙໛ᦤկ⾥ᄺձ᥂DŽ
[64]
3
3.1
[19]
3.3
BENTLY
3.2
20
80
ᴎ Ẅ Ꮉ ⿟ ᄺ ᡹
68
䆞ᮁ෎⸔ⷨおˈϞሖⱘҎᎹᱎ㛑ᮍ⊩੠ᡔᴃህ䲒ҹ
㾷‫އ‬ᅲ䰙ⱘᎹ⿟䯂乬DŽ
4
޴⚍ᗱ㗗
㓐ড়Ϟ䗄⦄䰊↉៥೑ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨお
ᄬ೼ⱘ䯂乬ˈᘏ㒧䍋ᴹ᳝Āܿ໮ܿᇥā⦄䈵˖ⷨお
ᬙ䱰㸼䈵໮ˈⷨおᬙ䱰ᴎ⧚ᇥ˗ⷨおᮟ䕀ᴎẄ໮ˈ
ⷨおᕔ໡ᴎẄᇥ˗ⷨお䗮⫼ᴎẄ໮ˈⷨおϧ⫼ᴎẄ
ᇥ˗ⷨおऩϔᮍ⊩໮ˈⷨお㓐ড়䆞ᮁᇥ˗ⷨお䚼ӊ
ᬙ䱰໮ˈⷨお㋏㒳ᬙ䱰ᇥ˗ⷨおᰒ㨫ᬙ䱰໮ˈⷨお
ᖂᔅᬙ䱰ᇥ˗ⷨおӓⳳ᭄᥂໮ˈⷨおᎹ⿟᭄᥂ᇥDŽ
ЎℸˈᴎẄᬙ䱰䆞ᮁⱘ෎⸔ⷨおᖙ乏ᅲ⦄ҹϟ Ͼ
ᮍ䴶ⱘさ⸈DŽ
ᅲ⦄⬅㸼䈵ⷨおࠄᴎ⧚ⷨおⱘさ⸈
෎ѢĀ᠔㾕े᠔ᕫāⱘ㸼䈵ⷨおᮍ⊩ˈা㛑ᇍ
ᴎẄᬙ䱰ⱘ㾷䞞੠䆞ᮁ㦋ᕫϔⶹञ㾷˗ᬙ䱰ᴎ⧚ᰃ
ড᯴ᬙ䱰ᴀ䋼ⱘḍᴀॳ಴ˈࡴᔎᬙ䱰ᴎ⧚ⷨおᰃ䅸
䆚ᅶ㾖џ⠽ⱘ⾥ᄺᅲ䏉DŽӴ㒳ⱘᴎẄ䆒໛ᬙ䱰䆞ᮁ
໮ҹⷨおᏆ᳝ᬙ䱰ⱘֵো⡍ᕕЎ෎⸔ˈᇍѢᮄⱘ䆒
໛ᬙ䱰乘䄺֓಴≵᳝ᬙ䱰Ḝ՟ৃᕾ㗠ϡ‫ܡ‬ⓣ䆞 DŽ
䱣ⴔ⾥ᄺᡔᴃⱘ䖙䗳থሩˈᮄ乪ǃ໻ൟ੠催䗳
ᴎẄ䆒໛ሖߎϡかˈབ亢⬉㺙໛ǃᎹϮ➗⇨䕂ᴎǃ
䪕䏃ࡼ䔺Ϣ催䪕ǃ亲㸠఼ࡼ࡯Ӵࡼ੠໻ࡳ⥛Ⳓᵘᴎ
ㄝDŽ䩜ᇍ䖭ѯᮄൟᮟ䕀੠ᕔ໡ᴎẄⱘᴎ⬉⎆㋏㒳ˈ
݊⡍⅞᳡ᕍ⦃๗ϟ㋏㒳ⱘᬙ䱰ᴎ⧚੠ᬙ䱰ⓨ࣪ࡼ࡯
ᄺ䖬᳝ᕙѢ⏅ܹഄߚᵤঞⷨおDŽ՟བ䩜ᇍ‫݌‬ൟⱘϡ
ᇍЁᬙ䱰ˈᓎゟ᭄ᄺ੠࡯ᄺ῵ൟˈᨁᓎ䆩偠ᑇৄˈ
ⷨおϡᇍЁ᠔ᇍᑨⱘᬙ䱰ᕕ‫ܚ‬੠乥䈅⡍ᕕ˗՟བ߽
⫼䯈䱭ᴎᵘࡼ࡯ᄺⱘⷨお៤ᵰˈⷨおϡৠ䯈䱭໻ᇣ
ᇍᑨⱘֵো乥䈅⡍ᕕˈ⫮㟇ᓎゟ䍋䯈䱭໻ᇣ੠ֵো
⡍ᕕⱘᅮ䞣݇㋏ˈ⫼Ѣᣛᇐᴎᵘ䯈䱭ⱘᬙ䱰䆞ᮁDŽ
಴ℸˈҞৢᬙ䱰䆞ᮁ᮴⭥ᇚ㽕᳈ࡴ⊼䞡ᴎ⧚ᮍ䴶ⱘ
ⷨおDŽ
ᅲ⦄⬅ᅮᗻⷨおࠄᅮ䞣ⷨおⱘさ⸈
ᬙ䱰䆞ᮁⱘⷨおᎹ԰䗮ᐌৃҹߦߚЎಯϾሖ
⃵˖佪‫⹂ܜ‬ᅮᬙ䱰ᰃ৺ᄬ೼ˈ݊⃵ᰃ㛑໳⹂ᅮᬙ䱰
ⱘԡ㕂ˈ㄀ϝሖ⃵ᰃ㛑໳⹂ᅮᬙ䱰ⱘᤳӸ⿟ᑺˈ㄀
ಯሖ⃵ᰃ࠽ԭᇓੑ乘⌟Ϣৃ䴴ᗻ䆘ԄDŽབᵰᇚ㄀ϔǃ
㄀Ѡሖ⃵ⱘᎹ԰⿄Ўᅮᗻⷨおⱘ䆱ˈ䙷М㄀ϝǃ㄀
ಯሖ⃵ህᰃᅮ䞣ⷨおDŽᅮᗻⷨおᰃᅮ䞣ⷨおⱘ䞡㽕
෎⸔ˈᅮ䞣ⷨおⱘ㄀ϝ੠㄀ಯሖ⃵ⱘⷨお㋻ᆚⳌ䖲ˈ
䖭ᰃ಴Ў㔎ᇥ‫ৃ⹂ޚ‬䴴ⱘ߱ྟᬙ䱰ሎᇌӮᇐ㟈෎Ѣ
ᴤ᭭⡍ᗻⱘ࠽ԭᇓੑ乘⌟ㄝᡔᴃ៤Ў᮴⑤П∈DŽ
ᬙ䱰ⱘᅮ䞣䆞ᮁ䳔㽕䆚߿ᤳӸㄝᬙ䱰ⱘ䚼ԡǃ
5
4.1
[65]
4.2
㄀ ो㄀ ᳳᳳ
49
1
⾡㉏ҹঞ⿟ᑺˈҢ㗠ᧁ⼎䆒໛ᬙ䱰⢊ᗕⱘথ⫳ǃথ
ሩঞⓨ࣪㾘ᕟˈҢ㗠ЎᴎẄ䆒໛ⱘᅝܼᗻߚᵤǃৃ
䴴ᗻ䆘Ԅ੠ᇓੑ乘⌟ᦤկ෎⸔ᗻձ᥂DŽ䩜ᇍ䞡໻㺙
໛‫݌‬ൟ㒧ᵘˈབ㟾ぎথࡼᴎ䕀ᄤǃ໻ൟ亲ᴎᴎ䑿ǃ
໻ൟ亢࡯ᴎ啓䕂ㆅ੠‫݌‬ൟ໡ড়ᴤ᭭㒧ᵘˈ佪‫ܜ‬ᑨᓔ
ሩ㺖㒍ᤳӸㄝᬙ䱰ⱘࡼᗕ೼㒓䆞ᮁ˗✊ৢˈ೼㺖㒍
ᤳӸᅮ䞣䆞ᮁⱘ෎⸔Ϟˈⷨお῵ൟϢ᭄᥂偅ࡼⱘ⢊
ᗕ䗔࣪䆚߿Ϣ࠽ԭᅝܼᇓੑ乘⌟ǃ‫ࠊݡ‬䗴䳊ӊⱘ᳡
ᕍᇓੑ䆘ԄϢ乘⌟ㄝDŽৃ㾕ˈҞৢᬙ䱰䆞ᮁⱘⷨお
䞡⚍ᇚӮҢᅮᗻⷨお䕀৥ᅮ䞣ⷨおDŽ
ᅲ⦄⬅ऩᬙ䱰ⷨおࠄ㕸ᬙ䱰ⷨおⱘさ⸈
ऩᬙ䱰䆞ᮁⳂࠡЏ㽕ᰃձ䴴ֵো໘⧚ᮍ⊩ˈϨ
ᓩথⱘᤃࡼֵো⡍ᕕϢ݊Ҫᑆᡄ៤ߚⱘ乥䈅ᆍᯧऎ
ߚDŽऩᬙ䱰䆞ᮁ䗮ᐌᆍᯧᅲ⦄ˈԚᰃᕔᕔ೼᥼ᑓՓ
⫼ᯊˈ݊㊒ᑺϡ催ǃ⊯࣪㛑࡯ϡᔎ੠䗮⫼ᗻ䕗Ꮒˈ
಴㗠ࠊ㑺њ݊೼Ꮉ⿟Ёⱘᑨ⫼DŽ‫މ‬Ϩˈ⬅Ѣᬙ䱰ⱘ
ॳ಴ᕔᕔϡᰃऩϔⱘˈ⡍߿ᰃᮟ䕀ᴎẄᬙ䱰ᰃ໮⾡
ᬙ䱰಴㋴㗺ড়ⱘ㒧ᵰˈ಴ℸˈⳆⳂഄҹऩϔᬙ䱰ᇍ
ᴎẄ㺙໛‫خ‬ҹ䆞ᮁӮ䗴៤ⓣ߸⫮㟇䇃߸DŽ
ᴎẄ㺙໛Ḍᖗ䚼ӊⱘ⺼ᤳǃ࠹㨑ǃ㺖㒍ㄝᬙ䱰
ᕔᕔৠᯊߎ⦄៪㗙‫ৢܜ‬㑻㘨থ⫳ˈ݊ᤃࡼֵোᕔᕔ
ᑊ䴲໮Ͼऩᬙ䱰ᕕ‫ֵܚ‬োⱘㅔऩ঴ࡴˈ㗠ᰃ㸼⦄Ў
ᬙ䱰⡍ᕕֵোⳌѦ㗺ড়ˈ䖭⾡㕸ᬙ䱰ⱘѻ⫳㒭ᬙ䱰
⹂䆞ᏺᴹ᳈໻ⱘೄ䲒DŽ಴ℸˈ㕸ᬙ䱰䆞ᮁᇚӮᰃҞ
ৢᬙ䱰䆞ᮁজϔথሩᮍ৥DŽ㕸ᬙ䱰䆞ᮁᅲ䰙Ϟᰃϔ
Ͼ໮ᬙ䱰ⱘ῵ᓣ䆚߿䯂乬ˈ䳔㽕ⷨお㕸ᬙ䱰㗺ড়⡍
ᕕⱘϔ⃵ᗻߚ⾏੠䆞ᮁᮍ⊩DŽ
ᅲ⦄⬅䍙ᔎᬙ䱰ⷨおࠄᖂᔅᬙ䱰ⷨおⱘさ⸈
䍙ᔎᬙ䱰ᛣੇⴔᴎẄᬙ䱰ᏆথሩࠄЁᰮᳳˈᬙ
䱰⡍ᕕᯢᰒˈᴎẄ䳊䚼ӊᗻ㛑ᏆϹ䞡䗔࣪ˈ㢹ϡঞ
ᯊ䞛প໘⧚᠟↉ˈৃ㛑䗴៤䞡໻џᬙDŽ㗠䩜ᇍℸᯊ
ᴎẄ䆒໛⢊ᗕⱘ䆞ᮁˈᬙ䱰⡍ᕕᆍᯧᦤপˈᬙ䱰⢊
ᗕгᆍᯧ䆚߿ˈ㱑✊䆞ᮁঞᯊгৃҹ䙓‫ܡ‬䞡໻џᬙ
ⱘথ⫳DŽԚᰃᴎẄᬙ䱰䆞ᮁⱘᛣН೼ѢᦤկĀ⊏⭫
ᮍḜāˈ㗠ϡᰃᓔ‫݋‬Ā⅏ѵ䆕ᯢāDŽ㗠䍙ᔎᬙ䱰䆞ᮁ ᰮ
ᳳᬙ䱰 ᮴⭥ህᰃᇍᴎẄ䆒໛ᓔĀ⅏ѵ䆕ᯢāˈ㗠៥
Ӏ᠔䳔㽕ⱘᰃঞᯊᥠᦵ䆒໛ⱘᗻ㛑䗔࣪䖛⿟ҹঞᬙ
䱰ⱘࡼᗕⓨ࣪䖛⿟ˈᇍ݊ᬙ䱰ⱘথ⫳থሩ‫ࠄخ‬䰆ᖂ
ᴰ⏤ˈᑊ䩜ᇍϡৠⱘᬙ䱰⢊ᗕˈ䞛প䗖ᔧⱘ㸹ᬥ᥾
ᮑDŽгህᰃ䇈ˈҢ䍙ᔎᬙ䱰䆞ᮁⷨお䕀৥ᖂᔅᬙ䱰
䆞ᮁⷨお࢓೼ᖙ㸠DŽ
ᖂᔅᬙ䱰䗮ᐌᣛ໘Ѣᮽᳳ䰊↉ⱘᖂᔅᬙ䱰៪
┰೼ᬙ䱰ˈ‫݋‬᳝⮛⢊ϡᯢᰒǃ⡍ᕕֵᙃᖂᔅㄝ⡍⚍˗
гᣛᴎẄᬙ䱰㱑✊থሩࠄЁᰮᳳˈԚᬙ䱰⡍ᕕ㹿ᔎ
ాໄ⏍≵ˈ㟈Փᬙ䱰⡍ᕕᖂᔅˈϡᯧ䆚߿DŽ಴ℸˈ
4.3
4.4
(
)
᳜
2013
ᑈ ᳜
1
⥟೑ᔾㄝ˖ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおĀԩএԩҢā
Ҟৢᖂᔅᬙ䱰䆞ᮁ䳔㽕ⷨお᳝ᬜⱘᖂᔅᬙ䱰⡍ᕕ๲
ᔎᮍ⊩੠ᔎాໄ㚠᱃ϟᬙ䱰⡍ᕕᦤপᮍ⊩˗ৠᯊЎ
њ‫ᦤ⹂ޚ‬পᖂᔅᬙ䱰⡍ᕕˈ䖬䳔㽕њ㾷ᬙ䱰ⓨ࣪䖛
⿟Ϣᕕ‫ܚ‬䯈ⱘ᯴ᇘ݇㋏ˈҢ㗠ֱ䆕ᖂᔅᬙ䱰⡍ᕕᦤ
পⱘ‫⹂ޚ‬ᗻ੠᳝ᬜᗻDŽ
ᅲ⦄⬅䳊䚼ӊᬙ䱰ⷨおࠄᴎẄ㋏㒳ᬙ䱰ⷨお
ⱘさ⸈
ᴎẄ䆒໛ⱘ䳊䚼ӊᬙ䱰䆞ᮁЏ㽕ᰃ䩜ᇍᴎẄ
㋏㒳Ёⱘ݇䬂䳊䚼ӊˈབ啓䕂ǃ䕈ᡓ੠䕀ᄤㄝˈ䖯
㸠ⲥ⌟ᑊ䆞ᮁ݊᳡ᕍᬙ䱰DŽ✊㗠ˈᴎẄ㋏㒳ⱘⳌѦ
԰⫼ᠡᰃᬙ䱰ѻ⫳ⱘᴀ䋼ॳ಴ ˈ䖭⾡䳊䚼ӊ㑻ⱘ
ᬙ䱰䆞ᮁᕔᕔা㛑䆞ᮁߎ䇅থᗻᬙ䱰ˈैϡ㛑ḍ⊏
ᴎẄ㋏㒳ⱘᬙ䱰䱤ᙷDŽ಴ℸˈҞৢⱘⷨおᑨ䆹⊼䞡
ᇚᴎẄ䆒໛ⳟ԰໮ሖ⃵ǃ䴲㒓ᗻⱘ໡ᴖᭈԧˈ佪‫ܜ‬
ᓎゟ໮㓈੠໮খ᭄໡ᴖ㋏㒳῵ൟˈ✊ৢҢ㋏㒳ⱘᭈ
ԧᗻ੠㋏㒳ⱘ㘨㋏ᗻߎথˈ⏅ܹⷨお㋏㒳‫ݙ‬䚼৘㒘
៤䚼ߚⱘࡼ࡯⡍ᗻǃⳌѦ԰⫼੠ձ䌪݇㋏ˈᕫߎ䳊
䚼ӊᬙ䱰ⱘ߱ℹ㒧䆎ˈ᥹ⴔ᥶㋶㋏㒳ᬙ䱰ⱘḍ⑤ˈ
ᡒߎॳথᗻᬙ䱰ˈҢ㗠ḍ䰸ᴎẄ䆒໛ᬙ䱰䱤ᙷDŽ
4.5
㽕ⱘ䞡໡ᓎ䆒੠ⷨおDŽᘏПˈৃҹ䗮䖛䲚Ё㊒࡯ᓔ
ሩ෎⸔ࠡ⊓᥶㋶ˈϡᮁ਌ᬊ᭄ᄺǃֵᙃǃ࡯ᄺ੠ᴤ
᭭ㄝ乚ඳⱘᮄথ⦄੠ᮄথᯢˈᓩᇐᴎẄᬙ䱰䆞ᮁⷨ
お৥⏅ᑺǃᑓᑺⱘᠽሩˈ᳔㒜ᅲ⦄㢹ᑆ䞡⚍さ⸈DŽ
খ 㗗 ᭛ ⤂
[1]
[63]
5
㒧䆎
೼೑ᆊ㞾✊⾥ᄺ෎䞥䭓ᳳ〇ᅮⱘᬃᣕϟˈ೑‫ݙ‬
ᴎẄᬙ䱰䆞ᮁ乚ඳ೼⧚䆎෎⸔ǃḚᶊԧ㋏੠Ꮉ⿟ᑨ
⫼ㄝᮍ䴶ϡᮁথሩᅠ୘ˈপᕫ໻䞣‫݋‬᳝㞾Џⶹ䆚ѻ
ᴗⱘⷨお៤ᵰDŽ䱣ⴔ೑ᆊ䖯ϔℹࡴ໻ᇍ⾥ᄺ෎䞥ⱘ
ᡩܹˈ᳾ᴹ䆹乚ඳ෎⸔ⷨおᑨ䆹‫خ‬ҔМǃབԩ‫خ‬ㄝ
䯂乬䳔㽕䖯ϔℹഄᗱ㗗੠ᘏ㒧DŽЎ䖯ϔℹ⧚⏙ᴀ乚
ඳⱘ᳾ᴹথሩᮍ৥ˈ NSFC ᴎẄᎹ⿟ᄺ⾥‫ৢܜ‬Ѣ
2010 ᑈ 12 ᳜੠ 2011 ᑈ 11 ᳜೼㽓ᅝ੠⷇ᆊᑘীᓔ
њĀᴎẄᬙ䱰䆞ᮁ෎⸔ⷨお催ሖ䆎യāDŽϢӮϧᆊᄺ
㗙⏅ܹ᥶䅼њ䆹乚ඳ᳾ᴹথሩ䞡⚍ǃথሩᮍ৥੠থ
ሩⳂᷛDŽᴀ᭛ℷᰃ೼ᇍ೑‫ݙ‬໪ᴎẄᬙ䱰䆞ᮁⷨおথ
ሩঞ෎䞥䌘ࡽ៤ᵰ䇗ⷨⱘ෎⸔Ϟˈ㓐ড়њϸ⃵Ӯ䆂
ⱘⷨ䅼៤ᵰˈᇍᴎẄᬙ䱰䆞ᮁⱘ෎⸔ⷨおǃॳྟ߯
ᮄ੠᳾ᴹথሩ䖯㸠᥶㋶ᗻᘏ㒧DŽ
Ā䯂⏴ાᕫ⏙བ䆌ˈЎ᳝⑤༈⌏∈ᴹāDŽᴎẄᬙ
䱰䆞ᮁ䖬䖰≵᳝ᔶ៤ϔ䮼ᅠ໛ⱘᄺ⾥ˈҢџ⑤༈෎
⸔ⷨお੠ᅲ⦄Ⳍ݇ᡔᴃさ⸈ᰃ᥼ࡼ݊㒻㓁থሩⱘॳ
ࡼ࡯DŽሩᳯ᳾ᴹˈᴎẄᬙ䱰䆞ᮁⷨおᑨ䆹ҹᎹ⿟ᑨ
⫼Ўゟ䎇⚍ˈҹᑩሖ෎⸔ⷨおЎ෎⷇ˈҹ㾷‫އ‬෎⸔
⾥ᄺ䯂乬Ўᬃ᷅ˈҹ㞾Џ߯ᮄⷨおЎⳂᷛ˗ৠᯊˈ
哧ࢅᑓ໻ᄺ㗙㾘ߦ੠ᓎゟᷛ‫ⱘޚ‬ᬙ䱰䆞ᮁ᭄᥂ᑧˈ
ᅲ⦄ᷛ‫ޚ‬䆩偠ৄ᭄᥂݅ѿǃ‫݌‬ൟᎹ⿟Ḝ՟੠᭄᥂݅
ѿǃᷛ‫ޚ‬ㅫ⊩݅ѿ੠ᷛ‫ޚ‬偠䆕῵ൟ݅ѿˈ䙓‫ܡ‬ϡᖙ
69
[2]
[3]
[4]
[5]
[6]
[7]
[8]
ሜṕ⫳ˈԩℷ௝. ᴎẄᬙ䱰䆞ᮁᄺ[M]. Ϟ⍋˖Ϟ⍋⾥
ᄺᡔᴃߎ⠜⼒ˈ1986.
QU Liangsheng ˈ HE Zhengjia. Mechanical fault
diagnostics[M]. Shanghai ˖ Shanghai Scientific and
Technical Publisherˈ1986.
䩳㕸吣ˈᓴኹˈ᳝⿏҂. ៥೑ᅝܼ⫳ѻ(৿ᅝܼࠊ䗴)ⱘ
⾥ᄺথሩ㢹ᑆ䯂乬[J]. ᴎẄᎹ⿟ᄺ᡹ˈ2007ˈ43(1)˖
7-18.
ZHONG Qunpeng ˈ ZHANG Zheng ˈ YOU Yiliang.
Several issues of scientific development of safety
production (including safety manufacturing) in china[J].
Chinese Journal of Mechanical Engineeringˈ2007ˈ43(1)˖
7-18.
⍖୘ϰˈ㨯Ϫ㤷ˈᄳ‫ˈܝ‬ㄝ. ᴎẄ㒧ᵘᔎᑺϢ༅ᬜˈᴎ
ẄϢࠊ䗴⾥ᄺᄺ⾥থሩ៬⬹ⷨお᡹ਞ (2006-2010
ᑈ)[M]. ࣫Ҁ˖⾥ᄺߎ⠜⼒ˈ2006.
TU ShandongˈGE ShirongˈMENG Guangˈet al. Strength
and failure of machinery structures, the study on
development strategies for mechanical and manufacturing
science (2006-2010)[M]. Beijing˖Science Pressˈ2006.
೑ᆊ㞾✊⾥ᄺ෎䞥ྨਬӮᎹ⿟Ϣᴤ᭭⾥ᄺ䚼. ᴎẄᎹ
⿟ᄺ⾥থሩ៬⬹᡹ਞ(2011-2020 ᑈ)[M]. ࣫Ҁ˖⾥ᄺߎ
⠜⼒ˈ2010.
Department of Engineering and Materials Science of
NSFC. The development strategies report of mechanical
engineering (2011-2020)[M]. Beijing˖Science Pressˈ
2010.
ЁढҎ⇥݅੠೑⾥ᄺᡔᴃ䚼. ೑ᆊĀकϔѨā⾥ᄺᡔᴃ
থሩ㾘ߦ[Z]. 2006.
The Ministry of Science and Technology of the People’s
Republic of China. The national 11th five-year
developing plan of science technology[Z]. 2006.
SOHRE J S. Trouble-shooting to stop vibration of
centrifugal[J]. Petrochem Engineersˈ1968ˈ11˖22-23.
SOHRE J S. Operating problems with high speed
turbomachinery causes and correction[C]// ASME
Petroleum Mechanical EngineeringˈSeptember 23ˈ1968ˈ
DallasˈTexas. New York˖ASMEˈ1968.
JACKSON C. The practical vibration primer[M]. Texas˖
Gulf publishing Companyˈ1979.
70
ᴎ Ẅ Ꮉ ⿟ ᄺ ᡹
[9] ACHENBACH J D. Structural health monitoring-What is
the prescription[J]. Mechanics Research Communicationsˈ
2009ˈ36˖137-142.
[10] NAIR K KˈKIREMIDJIAN A SˈLAW K H. Time
series-based damage detection and localization algorithm
with application to the ASCE benchmark structure[J].
Journal of Sound and Vibrationˈ2006ˈ291(1-2)˖349-368.
[11] PARK SˈYUN C BˈROH Yˈet al. PZT-based active
damage detection techniques for steel bridge
components[J]. Smart Materials & Structuresˈ2006ˈ
15(4)˖957-966.
[12] TAKEDA N ˈ OKABE Y ˈ MIZUTANI T. Damage
detection in composites using optical fiber sensors[J].
Proceedings of the Institution of Mechanical Engineersˈ
Part G ˖ Journal of Aerospace Engineering ˈ 2007 ˈ
221(G4)˖497-508.
[13] ⥟ᔎˈ㹕ᜢ㢇ˈ⬄ዄˈㄝ. ෎Ѣ೚ᔶय़⬉䰉߫ⱘЏࡼ
Lamb ⊶ᤳӸ៤‫ⷨ⌟ⲥڣ‬お[J]ˊӴᛳ఼Ϣᖂ㋏㒳ˈ2011ˈ
30(10)˖75-81.
WANG QiangˈYUAN ShenfangˈTIAN Fengˈet al. Study
on active Lamb wave damage imaging monitoring based
on circle PZT array[J]. Transducer and Microsystem
Technologiesˈ2011ˈ30(10)˖75-81.
[14] BACHSCHMID NˈPENNACCHI P. Crack effects in
rotor dynamics[J]. Mechanical Systems and Signal
Processingˈ2008ˈ22˖761-762.
[15] ROBERT G. Dynamic behaviour of the Laval rotor with a
transverse crack[J]. Mechanical Systems and Signal
Processingˈ2008ˈ22(4)˖790-804.
[16] CHEN PˈTOYOTA TˈHE Z J. Automated function
generation of symptom parameters and application to
fault diagnosis of machinery under variable operating
conditions[J]. IEEE Transaction on SystemsˈMan.ˈand
Cybernetics-Part A˖Systems and Humansˈ2001ˈ31(6)˖
775-781.
[17] SEKHAR A S. Multiple cracks effects and
identification[J]. Mechanical Systems and Signal
Processingˈ2008ˈ22(4)˖845- 878.
[18] 䯏䙺ἓ. Āᤃࡼ߽⫼Ꮉ⿟āᄺ⾥䖥ᳳⱘথሩ[J]. ᤃࡼᎹ
⿟ᄺ᡹ˈ2007ˈ20(5)˖427-434.
WEN Bangchun. Recent development of the course
“vibration utilization engineering”[J]. Journal of
Vibration Engineeringˈ2007ˈ20(5)˖427-434.
[19] 䰜ќᘩ. ᴎẄᬙ䱰䆞ᮁⱘ䴲㒓ᗻࡼ࡯ᄺॳ⧚[J]. ᴎẄ
Ꮉ⿟ᄺ᡹ˈ2007ˈ43(1)˖25-34ˊ
CHEN Yushu. Nonlinear dynamical principle of
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
㄀ 49 ो㄀ 1 ᳳᳳ
mechanical fault diagnosis[J]. Chinese Journal of
Mechanical Engineeringˈ2007ˈ43(1)˖25-34.
䩳ᥬˈ૤ढᑇ. 催䗳䔻ᴎ㢹ᑆᤃࡼ䯂乬üü໡ᴖᴎ⬉㋏
㒳㗺ড়ࡼ࡯ᄺⷨお[J]. ᤃࡼǃ⌟䆩Ϣ䆞ᮁˈ2002ˈ22(1)˖
1-8.
ZHONG Jue ˈ TANG Huaping. Vibration problems of
high speed rolling mill-study of dynamical of complex
electromechanically coupled system[J]. Journal of
VibrationˈMeasurement & Diagnosisˈ2002ˈ22(1)˖1-8.
㻮⽣⺞ˈ∸ᰧ⨯ˈ૤ѥ. ⺄ᨽ䕀ᄤ㋏㒳ⱘ〇ᅮᗻ[J]. ⏙
ढ໻ᄺᄺ᡹ˈ2000ˈ40(4)˖119-123.
CHU FuleiˈTANG XiaoyingˈTANG Yun. Stability of a
rub-impact rotor sytem[J]. Journal of Tsinghua
Universityˈ2000ˈ40(4)˖119-123.
PENG Z KˈJACKSON M RˈRONGONG J Aˈet al. On
the energy leakage of discrete wavelet transform[J].
Mechanical Systems and Signal Processingˈ2009ˈ23(2)˖
330-343.
ANDREW K S JˈDAMING LˈDRAGAN B. A review on
machinery diagnostics and prognostics implementing
condition-based maintenance[J]. Mechanical Systems and
Signal Processingˈ2006ˈ20˖1483-1510.
MOHAMMAD R MˈNORMAN MˈMOHAMMAD H
Mˈet al. Rotor fault condition monitoring techniques for
squirrel-cage induction machine-A review[J]. Mechanical
Systems and Signal Processingˈ2011ˈ25(8)˖2827-2848.
GEBRAEEL N ZˈLAWLEY M A. A neural network
degradation model for computing and updating residual
life distributions[J]. IEEE Transactions on Automation
Science and Engineeringˈ2008ˈ5(1)˖154-163.
IHN J B ˈ CHANG F K. Pitch-catch active sensing
methods in structural health monitoring for aircraft
structures[J]. Structural Health Monitoringˈ2008ˈ7(1)˖
5-19.
ROBERT X G ˈ YAN R Q. Wavelets ˖ Theory and
applications for manufacturing[M]. Berlin ˖ Springer
Publisherˈ2011.
YAN R QˈROBERT X G. Harmonic wavelet-based data
filtering for enhanced machine defect identification[J].
Journal of Sound and Vibration ˈ 2010 ˈ 329(15) ˖
3203-3217.
GU FˈSHAO YˈHU Nˈet al. Electrical motor current
signal analysis using a modified bispectrum for fault
diagnosis of downstream mechanical equipment[J].
Mechanical Systems and Signal Processingˈ2011ˈ25(1)˖
360-372.
᳜ 2013 ᑈ 1 ᳜
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
⥟೑ᔾㄝ˖ᴎẄᬙ䱰䆞ᮁ෎⸔ⷨおĀԩএԩҢā
CHEN Min ˈ HU
NEWLANG D E. Ridge and phase identification in the
frequency analysis of transient analysis by harmonic
wavelets[J]. Journal of Vibration and Acousticˈ1999ˈ
121(2)˖149-155.
ANTONI J. Cyclostationarity by examples[J].
Mechanical Systems and Signal Processingˈ2009ˈ23(4)˖
987-1036.
LEI Yaguo ˈ ZUO M J ˈ HE Zhengjia ˈ et al. A
multidimensional hybrid intelligent method for gear fault
diagnosis[J]. Expert Systems with Applicationsˈ2010ˈ
37(2)˖1419-1430.
SU Z Q ˈ YE L ˈ LU Y. Guided Lamb waves for
identification of damage in composite structures ˖ A
review[J]. Journal of Sound and Vibrationˈ2006ˈ295˖
753-780.
ANTONI JˈRANDALL R B. The spectral kurtosis˖
Application to the vibratory surveillance and diagnostics
of rotating machines[J]. Mechanical Systems and Signal
Processingˈ2006ˈ20(2)˖308-331.
ᴼনᄤˈ৆䪕ᵫ. ҹҎЎᴀüüᷥゟࠊ䗴Ϯথሩⱘᮄ㾖
ᗉ[J]. ᴎẄᎹ⿟ᄺ᡹ˈ2008ˈ44(7)˖1-5.
YANG ShuziˈSHI Tielin. Humanism-establishing a new
concept of manufacture’s development[J]. Chinese
Journal of Mechanical Engineeringˈ2008ˈ44(7)˖1-5.
ሜṕ⫳. ᴎẄᬙ䱰ⱘܼᙃ䆞ᮁॳ⧚[M]. ࣫Ҁ˖⾥ᄺߎ
⠜⼒ˈ2007.
QU Liangsheng. Holospectrum diagnosis principle of
mechanical fault[M]. Beijing˖Science Pressˈ2007.
ԩℷ௝ˈ䀒㡇䰇ˈ䰜䲾ዄˈㄝˊ‫⿃ݙ‬বᤶॳ⧚ϢᴎẄ
ᬙ䱰䆞ᮁ[J]. ᤃࡼᎹ⿟ᄺ᡹ˈ2007ˈ20(5)˖528-533.
HE Zhengjia ˈ ZI Yanyang ˈ CHEN Xuefeng ˈ et al.
Transform principle of inner product for fault diagnosis[J].
Journal of Vibration Engineeringˈ2007ˈ20(5)˖528-533.
[38] LIN J ˈ QU L S. Feature extraction based on Morlet
wavelet and its application for mechanical fault
diagnosis[J]. Journal of Sound and Vibrationˈ2000ˈ
234(1)˖135-148.
[39] ᓴ㦍ˈ⥟໾࢛ˈ‫ˈ߮∌ދ‬ㄝ. ঠ〇䱣ᴎ݅ᤃⱘֵোᘶ໡
ⷨお[J]. ࡯ᄺᄺ᡹ˈ2008ˈ40(4)˖528-534.
ZHANG YingˈWANG TaiyongˈLENG Yonggangˈet al.
Study of signal recovery in bistable stochastic
resonance[J]. Chinese Journal of Theoretical and Applied
Mechanicsˈ2008ˈ40(4)˖528-534.
[40] 䰜ᬣˈ㚵㣥ᑚˈ⾺೑‫ˈݯ‬ㄝ. খ᭄䇗㡖䱣ᴎ݅ᤃ೼ᴎẄ
㋏㒳ᮽᳳᬙ䱰Ẕ⌟Ёⱘᑨ⫼[J]. ᴎẄᎹ⿟ᄺ᡹ˈ2009ˈ
45(4)˖131-135.
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
71
Niaoqing ˈ QIN Guojun ˈ et al.
Application of parameter-tuning stochastic resonance for
detecting early mechanical faults[J]. Journal of
Mechanical Engineeringˈ2009ˈ45(4)˖131-135.
ᴢࡴᑚˈ䰜䖯ˈᴼ䍙ˈㄝ. ⊶঴ࡴໄഎ䞡ᵘ㊒ᑺⱘᕅડ
಴㋴ߚᵤ[J]. ⠽⧚ᄺ᡹ˈ2008ˈ57(7)˖4258-4264.
LI JiaqingˈCHEN JinˈYANG Chaoˈet al. Analysis of the
impact factors on the accuracy of sound field
reconstruction based on wave superposition[J]. Acta
Physical Sinicaˈ2008ˈ57(7)˖4258-4264.
ϕᒋ. ⾏ᬷ乥䈅ߚᵤ᷵ℷॳ⧚Ϣᡔᴃ[D]. 㽓ᅝ˖㽓ᅝ
Ѹ䗮໻ᄺˈ2006.
DING Kang. The theory and technology of discrete
spectrum correction[D]. Xi’an ˖ Xi’an Jiaotong
Universityˈ2006.
㙪‫ع‬ढˈ῞ৃ⏙ˈਈҞ෍ˈㄝ. ᑨ⫼Ѣᬙ䱰䆞ᮁⱘ SVM
⧚䆎ⷨお[J]. ᤃࡼǃ⌟䆩Ϣ䆞ᮁˈ2001ˈ21(4)˖258-262.
XIAO Jianhua, FAN Keqing, WU Jinpei, et al. A study of
SVM for fault diagnosis[J]. Journal of Vibration,
Measurement & Diagnosisˈ2001ˈ21(4)˖258-262.
ᓴ਼䫕ˈᴢ‫ޠ‬ഛˈԩℷ௝. ෎Ѣᬃᣕ৥䞣ᴎⱘᴎẄᬙ䱰
䆞ᮁᮍ⊩ⷨお[J]. 㽓ᅝѸ䗮໻ᄺᄺ᡹ˈ2002ˈ36(12)˖
1303-1306.
ZHANG Zhousuo, LI Lingjun, HE Zhengjia. Research on
diagnosis method of machinery fault based on support
vector machine[J]. Journal of Xi’An Jiaotong Universityˈ
2002ˈ36(12)˖1303-1306.
WIDODO AˈYANG B S. Support vector machine in
machine condition monitoring and fault diagnosis[J].
Mechanical Systems and Signal Processingˈ2007ˈ21(6)˖
2560-2574.
KRUZIC J J. Predicting fatigue failures[J]. Scienceˈ
2009ˈ325˖156-157.
HENG AˈZHANG SˈANDY C C Tˈet al. Rotating
machinery prognostics˖State of the artˈchallenges and
opportunities[J]. Mechanical Systems and Signal
Processingˈ2009ˈ23(3)˖724-739.
IMS center web. Center for intelligent maintenance
systems [EB/OL]. (2012-10-11)[2012-11-06]. http˖//
www.imscenter.net.
催䞥ঢ়. 催䗳⍵䕂ᴎẄᤃࡼᬙ䱰ᴎ⧚ঞ䆞ᮁᮍ⊩ⱘⷨ
お[D]. ࣫Ҁ˖⏙ढ໻ᄺˈ1993.
GAO Jinji. Study on the mechanical vibration fault
mechanism and diagnosis method for the high speed
turbine[D]. Beijing˖Tsinghua Universityˈ1993.
❞䆫⊶ˈ⥟✊亢ˈṕН㓈. 䔻ᴎ㞾▔ᤃࡼ䆞ᮁ੠㒧ᵘࡼ
72
[51]
[52]
[53]
[54]
[55]
[56]
[57]
[58]
[59]
ᴎ Ẅ Ꮉ ⿟ ᄺ ᡹
㄀ 49 ो㄀ 1 ᳳᳳ
࡯ᄺׂᬍ[J]. ᴎẄᎹ⿟ᄺ᡹ˈ2005ˈ41(7)˖147-151.
decomposition˖A noise-assisted data analysis method[J].
XIONG Shibo ˈ WANG Ranfeng ˈ LIANG Yiwei.
Advances in Adaptive Data Analysisˈ2009ˈ1(1)˖1-41.
[60] 䰜ќᘩ. ᴎẄ㺙໛䴲㒓ᗻࡼ࡯ᄺϢ᥻ࠊⱘ݇䬂ᡔᴃ[M].
Self-excited vibration diagnosis of the rolling mills and
࣫Ҁ˖ᴎẄᎹϮߎ⠜⼒ˈ2011.
structure dynamics modification[J]. Chinese Journal of
Mechanical Engineeringˈ2005ˈ41(7)˖147-151.
CHEN Yushu. The key technology of nonlinear dynamics
⬇∌‫ˈݯ‬ᴼ㒡᱂ˈᄨᖋ乎. ෎Ѣ༛ᓖؐߚ㾷ⱘ⃴ᅮⳆֵ
and control for mechanical equipment[M]. Beijing˖China
োߚ⾏ᮄᮍ⊩ঞᑨ⫼[J]. ᴎẄᎹ⿟ᄺ᡹ˈ2009ˈ 45(8)˖
Machine Pressˈ2011.
64-70.
[61] ԩℷ௝ˈ䰜䲾ዄˈᴢ݉ˈㄝ. ᇣ⊶᳝䰤‫⧚ܗ‬䆎ঞ݊Ꮉ⿟
SHEN YongjunˈYANG ShaopuˈKONG Deshun. New
ᑨ⫼[M]. ࣫Ҁ˖⾥ᄺߎ⠜⼒ˈ2006.
method of blind source separation in under-determined
HE ZhengjiaˈCHEN XuefengˈLI Bingˈet al. The theory
mixtures based on singular value decomposition and
application[J]. Journal of Mechanical Engineeringˈ2009ˈ
45(8)˖64-70.
NEWKIRK B L. Shaft whipping[J]. General Electric
Reviewˈ1924ˈ27˖169-178.
NEWKIRK B LˈTAYLOR H D. Shaft whipping due to
oil action in journal bearings[J]. General Electric
Reviewˈ1925ˈ28˖559-568.
MUSZYNSKA A. Tracking the mystery of oil whirl[J].
Journal of Sound and Vibrationˈ1987ˈ2(20)˖8-12.
MUSZYNSKA A ˈ BENTLY D E. Anti-swirl
arrangements prevent rotor/seal instability[J]. ASME
Journal of VibrationˈAcousticsˈStress and Reliability in
Designˈ1989ˈ111(2)˖156-162.
MUSZYNSKA AˈBENTLY D EˈFRANKLIN W Dˈ
et al. Influence of rubbing on rotor dynamics[M].
Nevada˖Bently Nevada Corporationˈ1989.
HUANG N EˈSHEN ZˈLONG S Rˈet al. The empirical
mode decomposition and the Hilbert spectrum for
nonlinear and non-stationary time series analysis[J].
Proceedings of the Royal Society of London Series
A-Mathematical Physical and Engineering Sciences ˈ
1998ˈ454(1971)˖903-995.
FLANDRIN PˈRILLING GˈGONCALVES P. Empirical
mode decomposition as a filter bank[J]. IEEE Signal
Processing Lettersˈ2004ˈ1(2)˖112-114.
WU Z H ˈ HUANG N E. Ensemble empirical mode
[62]
[63]
[64]
[65]
and engineering application of wavelet finite element[M].
Beijing˖Science Pressˈ2006.
ԩℷ௝ˈ䰜䲾ዄ. ᇣ⊶᳝䰤‫⧚ܗ‬䆎ⷨおϢᎹ⿟ᑨ⫼ⱘ䖯
ሩ[J]. ᴎẄᎹ⿟ᄺ᡹ˈ2005ˈ41(3)˖1-11.
HE ZhengjiaˈCHEN Xuefeng. Advances in theory study
and engineering application of wavelet finite element[J].
Chinese Journal of Mechanical Engineeringˈ2005ˈ41(3)˖
1-11.
催䞥ঢ়. 㺙໛㋏㒳ᬙ䱰㞾ᛜॳ⧚ⷨお[J]ˊЁ೑Ꮉ⿟⾥
ᄺˈ2005ˈ7(5)˖43-48.
GAO JinjiˊResearch on the fault self-recovery principle
of equipment system[J]. Engineering Scienceˈ2005ˈ
7(5)˖43-48.
ԩℷ௝ˈ㹕䴭ˈ䀒㡇䰇. ᴎẄᬙ䱰䆞ᮁⱘ‫⿃ݙ‬বᤶॳ⧚
Ϣᑨ⫼[M]. ࣫Ҁ˖⾥ᄺߎ⠜⼒ˈ2011.
HE ZhengjiaˈYUAN JingˈZI Yanyang. Inner product
principle of mechanical fault diagnosis and
application[M]. Beijing˖Science Pressˈ2011.
૤ᖋᇻ. ෎Ѣᬙ䱰ᴎ⧚ߚᵤⱘᬙ䱰䆞ᮁᡔᴃⱘᑨ⫼੠
থሩ[J]. Ё೑䆒໛Ꮉ⿟ˈ2012(1)˖9-11.
TANG Deyao. The fault diagnosis technique application
and development based on the analysis of the fault
mechanism[J]. China Plant Engineeringˈ2012(1)˖9-11.
԰㗙ㅔҟ˖⥟೑ᔾˈ⬋ˈ1964 ᑈߎ⫳ˈम຿ˈᬭᥜˈम຿ⷨお⫳ᇐᏜDŽ
E-mail˖[email protected]