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 ޡч༲ྡྷऀ ע 1 2 2 ᆊ㞾✊⾥ᄺ䞥ྨਬӮ ࣫Ҁ ˗ 㽓ᅝѸ䗮ᄺᴎẄࠊ䗴㋏㒳Ꮉᆊ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ϢᎹᅲ䰙ᑨ⫼㋻ᆚ㒧ড়DŽ䆹ᄺ⾥㒣 䖛ञϾϪ㑾ⱘথሩ䗤⏤៤❳ˈֵো㦋পϢӴᛳᡔᴃǃᬙ䱰ᴎ⧚Ϣᕕܚ㘨㋏ǃֵো໘⧚Ϣ䆞ᮁᮍ⊩ǃᱎ㛑އㄪϢ䆞ᮁ㋏㒳ㄝ ᮍ䴶ᔶ៤䕗ᅠⱘ⧚䆎ԧ㋏ˈ⍠⦄њབܼᙃ䈅䆞ᮁǃᇣ⊶᳝䰤ܗ㺖㒍ࡼᗕᅮ䞣䆞ᮁㄝॳ߯ᗻ⧚䆎៤ᵰˈᴎẄǃފ䞥ǃ࣪ǃ 㛑⑤㟾ぎㄝ㸠Ϯপᕫњ䞣ध᳝៤ᬜⱘᎹᑨ⫼DŽԚᰃˈ䆹ᄺ⾥г䖬ᄬⴔᬙ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བԩᓔሩˈᴹⱘথሩᮍᰃᗢḋˈᇚᰃϔϾ䴲ᐌ ᗹߛϨ䳔㽕⏅ܹ䅼ⱘ䯂乬DŽᇍݙᴎẄᬙ䱰䆞ᮁᄺ⾥⸔⧚䆎Ꮉᅲ䰙ᑨ⫼ⷨお⦄⢊ߚᵤⱘ⸔ϞˈᣛߎⳂࠡ䆹ᄺ ⾥⸔ⷨおᄬⱘ䯂乬Ҟৢⷨおさ⸈ⱘᮍDŽ ݇䬂䆡˖ᬙ䱰䆞ᮁ ᬙ䱰ᴎ⧚ ⡍ᕕᦤপ ᇓੑ乘⌟ Ёߚ㉏ো˖ 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⢊ᗕᬙ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ϢᎹᅲ䰙ᑨ⫼㋻ᆚ 20 20120627 㒧ড় DŽ ᴎẄᬙ䱰䆞ᮁᇍѢֱ䱰䆒ᅝܼ䖤㸠ᛣН䞡 DŽᴎẄ䆒ϔᮺߎ⦄џᬙˈᇚᏺᴹᎼⱘ㒣⌢ᤳ ༅ҎਬӸѵDŽݙᴎẄ䆒ᬙ䱰㗠ᓩ䍋ⱘ♒ 䲒ᗻџᬙስ᳝থ⫳ ˈ՟བ៥ϝኵᎹഄศᏺᴎᮁ 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ᗻџᬙ᳝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 ᇚᮄⱘড়ᴤ᭭㒧ᵘ䭓ᳳ᳡ᕍЁᗻ㛑㳩বǃᤳӸⓨ ࣪⮆ࢇㄝⱘẔ⌟ǃ乘⌟乘䰆䯂乬߫Ў䞡㽕ⱘⷨ おݙᆍПϔDŽ៥ᆊЁ䭓ᳳ㾘ߦ(2006̚2020 ᑈ) ljᴎẄᎹᄺ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䱰䆞ᮁᰃݙⱘⷨお⛁⚍DŽ䖥ᑈᴹˈ ᬙ䱰䆞ᮁᡔᴃݙফࠄᰒ㨫䞡㾚ˈݙᕜ ᄺ㗙ᓔሩњⳌ݇ⷨおᎹˈᴀ᭛Ѣ 2012 ᑈ 6 ᳜߽⫼ Google ᄺᴃ Web of science ᭄ᑧ䖯㸠Ẕ㋶˖ Google ᄺᴃ᧰㋶Ёˈ2008̚2012 ᑈᷛ乬Ё᳝ fault diagnosis ⱘ᭛⤂᳝ 8 070 ԭ㆛ˈᷛ乬Ё᳝ damage detection ⱘ᭛⤂᳝ 1 900 ㆛˗ Web of science ᭄ ᑧЁˈ2008̚2012 ᑈᷛ乬Ё᳝ fault diagnosis ⱘ ᭛⤂᳝ 6 127 ԭ㆛ˈ݊Ё៥ऴ 46.875%ˈ㕢ऴ 14.722%ˈᷛ乬Ё᳝ damage detection ⱘ᭛⤂᳝ 928 ԭ㆛ˈ㕢ऴ 26.078%ˈ៥ऴ 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䆞ᮁᎹㅵ⧚(Condition monitoring [3-5] and diagnostic engineering management, COMADEM) 䰙Ӯ䆂ᰃ↣ᑈВ㸠ϔⱘˈ㟇 ᑈᏆВࡲ ሞ˗ᴎẄ༅ᬜ乘䰆ᡔᴃ ᰃ㟈ѢᎹ乚ඳعᒋㅵ⧚Ϣ༅ ᬜ乘䰆ᡔᴃⷨおⱘ䰙Ӯ䆂ˈ↣ᑈВࡲϔˈ㟇Ҟ Ꮖ᳝ಯकᑈⱘথሩग़DŽˈݙЁᤃࡼᎹ ᄺӮǃЁᴎẄᎹᄺӮㄝഛ↣䱨ϸᑈীᓔᬙ䱰䆞 ᮁӮ䆂ˈᮼࡴᔎᄺᴃѸ⌕ᑓ៤ᵰᑨ⫼DŽ 2012 25 (Machinery failure prevention technology, MFPT) 1 ݙⷨお⦄⢊ 㞾 Ϫ㑾 ᑈҷ㕢ᬙ䱰䆞ᮁ乘䰆ᇣ㒘㣅 ᴎ఼ֱعЁᖗ៤ゟҹᴹˈᬙ䱰䆞ᮁᡔᴃ䗤ℹϪ ⬠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 ԭџᬙߚᵤ㒣偠ˈᔦ㒇ᘏ㒧њᤃࡼ⡍ᕕߚᵤ㸼˗ ℸ⸔Ϟˈ ⊍࣪Ꮉ݀ৌ JACKSON 㓪ݭњᮟ䕀ᴎẄᤃࡼߚᵤᕕܚϔ㠀ব࣪㾘ᕟ㸼ˈ ݙᮟ䕀ᴎẄ⢊ᗕⲥ⌟ᬙ䱰䆞ᮁߚᵤⷨおҎਬ ᑓ⊯ᓩ⫼DŽ2009 ᑈ㕢ϝ䰶䰶ǃ㽓࣫ᄺᴎẄᎹ ㋏ ACHENBACH ᬭᥜ ᇍ㒧ᵘعᒋⲥⷨ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˗᮹ᴀϰҀᄺ 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 ᑈᛣ߽ᄺ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⧚ㄝᮍ䴶خњⳌ݇ⱘ䆎䗄˗㕢 Los Alamos ᆊᅲ偠ᅸⱘᎹⷨお᠔ FARRAR ㄝ㒧 ᵘعᒋⲥ⌟ǃ乘⌟ᮍ䴶خњ䖲㓁ध᳝៤ᬜⱘ⧚䆎Ϣ 䆩偠ⷨお˗ᖋᶣᵫ⾥ᡔᄺ ROBERT ⏅ܹⷨお њ㺖㒍䕀ᄤⱘࡼᄺ㸠Ў˗᮹ᴀбᎲᎹϮᄺЄ⬄ 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ࡼᄺ㸠Ўঞ ݊䕼䆚ᮍ⊩˗䯏䙺ἓ䰜ќᘩ Ѣ⏋≠ߚቨ ⧚䆎ᇍ䕈㋏䴲㒓ᗻࡼᄺ㸠Ў䖯㸠њ⏅ܹⷨお˗䩳 ᥬㄝ ⷨおњ⦄ҷൟᴖᴎ⬉㋏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⍙⢘Ḑᄺ ROBERT Ϣϰफᄺ 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ᇨᖋᄺⱘ BALL ᠔ಶ䯳䭓ᳳҢџᬙ 䱰䆞ᮁⱘⷨおᎹ ˗㣅䇶㧆ᇨᖋᄺǃफᅝ᱂ 乓ᄺǃࠥḹᄺㄝ䭓ᳳ㟈Ѣ䆒㒓ⲥ⌟Ϣᤳ Ӹ䆚߿ⱘⷨおᎹ ˗⊩䋵Ⲃ⍙ᡔᴃᄺ 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ㄝൟ䳊䚼ӊⱘᬙ䱰䆞ᮁᮍ⊩ 䖯㸠њ⏅ܹⷨお˗▇߽Ѯᙝሐᄺ SU ㄝ 䭓ᳳ Ңџড়ᴤ᭭عᒋⲥ⌟ⷨおᑊᦤߎњ᭄ⷕᣛ㒍ⱘᮄ ὖᗉ˗▇߽Ѯᮄ࿕ᇨᄺ ANTONI ㄝ ϔⳈ㟈 Ѣᬙ䱰ֵো໘⧚Ϣ⡍ᕕᦤপⱘᑩሖⷨお˗ᴼনᄤ ㄝ ܜ䖯ࠊ䗴ᡔᴃᬙ䱰䆞ᮁᮄᡔᴃㄝᮍ䴶প ᕫϔ㋏߫៤ᵰ˗ሜṕ⫳ǃԩℷㄝ 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䱰䆞ᮁᰃᢳҎ㉏ᗱ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DŽᴖᴎẄ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 ᇍѢᬃᣕⶶ䞣ᴎⱘᬙ䱰ߚ㉏ ఼䖯㸠њⷨお˗2007 ᑈ䶽ᄺ㗙 WIDODO ㄝ 㓐 䗄њᬃᣕⶶ䞣ᴎᴎẄᬙ䱰䆞ᮁЁⱘⷨお䖯ሩࠡ 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ᆚᠻᅝᄺݯǃ䕯䕯䙷ᦤᄺᴢᵄㄝ 㕢㞾✊⾥ᄺ䞥 ⱘ䌘ࡽϟˈ㘨ড়ᎹϮ⬠݅ ৠ៤ゟњĀᱎ㛑㓈ᡸ㋏㒳 Ёᖗāˈᮼⷨ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⊩ˈᦤߎњᕔय़㓽ᴎ䆞ᮁⱘֵߏކ োߚᵤ⊩ㄝ˗ᴼ㒡᱂ǃ❞䆫⊶ǃᴼϪ䫵ǃ咘᭛㰢ǃ ᕤᇣǃ⾺ᷥҎǃ䶽᥋ǃѢᖋҟᴢᄺݯㄝ 䭓 ᳳҢџᴎẄ⢊ᗕⲥ⌟Ϣᬙ䱰䆞ᮁᡔᴃⱘⷨおDŽݙ 䆞ᮁ㋏㒳ⱘⷨথᮍ䴶পᕫњᕜདⱘ៤ᵰDŽ ˈݙᆊ㞾✊⾥ᄺ䞥ྨਬӮ 䴲ᐌ 䞡㾚ᇍᴎẄᬙ䱰䆞ᮁ乚ඳӬ乍Ⳃⱘ㚆ǃӬ䗝 䌘ࡽᎹDŽⳂࠡˈ䆹乚ඳⱘ乍Ⳃ⬇䇋Џ㽕䲚Ё ᴎẄᎹᄺ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 ϛܗDŽℸˈᴎẄ Ꮉᄺ⾥ĀकѨā㟇ĀकѠѨāᳳ䯈ˈ䌘ࡽϢᴎ Ẅᬙ䱰䆞ᮁⳈⳌ݇ⱘ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 ൟᴖᴎ⬉㋏㒳ᮽᳳᬙ䱰ᱎ㛑乘⼎ⱘ⧚䆎Ϣᡔᴃ ᴎẄᴖ㋏㒳ᓎӓⳳǃ䖤㸠Ӭ࣪㞾ᛜ䇗⧚䆎 Ϣᮍ⊩ Ѣܝ㑸ܝᷙӴᛳⱘᴖᴎẄ㋏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ᑇᴎẄᴖᴎ⬉㋏㒳ࡼᄺ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ᄺˈॳ⧚Ꮉ ᄺˈϞ⍋Ѹ䗮ᄺ ࣫Ҁ࣪Ꮉᄺ ℺∝⧚ᎹᄺˈढЁ⾥ᡔ ᄺˈ≜䰇থࡼᴎ䆒䅵ⷨお᠔ 㽓ᅝѸ䗮ᄺˈॳ⧚Ꮉ ᄺˈϞ⍋Ѹ䗮ᄺ 䞡ᑚᄺˈ / 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 ࣫Ҁ࣪Ꮉᄺ ̚ 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ᑈᴹݙᄺ㗙ᴎẄᬙ䱰䆞ᮁⱘ⸔ⷨ お䞡Ꮉᑨ⫼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ᗻࡼᄺǃᇣ⊶᳝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⇨⌕▔ᤃㄝൟᬙ䱰 ᴎ⧚⡍ᕕ䖯㸠њ䆩偠⧚䆎ⷨおˈЎᴎẄᬙ䱰ⱘ ֵো⡍ᕕᦤপᦤկњ⧚䆎⸔DŽֵো⡍ᕕᦤপᮍ 䴶ˈ1998 ᑈ㕢㈡ढҎ HUANG ㄝ ߯䗴ᗻഄᦤߎ њᴀᕕᓣߑ᭄(Intrinsic mode function, IMF)ⱘὖ ᗉˈҹঞᇚӏᛣֵোߚ㾷Ўᴀᕕᓣߑ᭄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 ՓֵোϡৠሎᑺϞ䖲㓁ˈҢ㗠᳝ᬜഄ㾷އњᓣ ⏋⎚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ᡔᴃᰃѢ Ӵᛳ఼ֵᙃ䲚៤㵡ড়ⱘܜ䖯䆞ᮁᮍ⊩ˈᅗᇚᴎ 㒘ϞϾӴᛳ఼ᬊ䲚ࠄⱘֵᙃ᳝ᴎഄ䲚៤㵡ড় ϔ䍋ˈ߽⫼њᴎ㒘ⱘᤃࡼֵোˈҹঞ↣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◥Ꮧǃⷁᯊ䈅ⷁ ᯊ䕈䈅ㄝDŽൟབܼᙃࡼᑇ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 䆞ᮁⱘ᳝ᬜ↉ˈᑓ⊯ഄᑨ⫼ѢᴎẄǃ࣪Ꮉǃ࣪ǃ ⬉ǃފ䞥ҹঞᓎᴤㄝ㸠ϮЁൟᮟ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 ᑈᆊᡔᴃথᯢ Ѡㄝ༪DŽ 䰜ќᘩㄝ䩜ᇍൟᮟ䕀ᴎẄⱘᤃࡼᬙ䱰⡍⚍ 䖯㸠㓐ড়ߚᵤˈさ⸈Ӵ㒳ҹ㒓ᗻ⧚䆎Ў⸔ⱘᬙ䱰 ᓎߚᵤᮍ⊩ˈᦤߎњ 乍䞡ᬙ䱰ⱘ䴲㒓ᗻ㓐 ড়⊏⧚ᮄᡔᴃDŽᇍ ㉏䞡ᬙ䱰ˈߚ߿䖯㸠њ䴲㒓 ᗻࡼᄺᓎߚᵤˈᧁ⼎њ䞡ᤃࡼᬙ䱰ᴎ⧚Ϣ ㋏㒳খ᭄П䯈ⱘⳌ݇㾘ᕟˈᯢ⹂њѢ㋏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 ᇍ㉏ᬙ䱰ᷛᴀⱘⳂⱘ⊏ݐDŽ䆹ᡔᴃߎ⠜њljᴎẄ 㺙䴲㒓ᗻࡼᄺϢࠊⱘ݇䬂ᡔᴃNJㄝϧ㨫 ˈ ݊ⷨお៤ᵰĀൟᮟ䕀ᴎẄᤃࡼᴎẄ䞡ᤃࡼᬙ 䱰⊏⧚Ϣ䴲㒓ᗻࡼᄺ䆒䅵ᡔᴃā㦋ᕫ ᑈᑺ ᆊ⾥ᡔ䖯ℹѠㄝ༪DŽ ԩℷㄝ ᦤߎњѢᇣ⊶᳝䰤ⱘܗ䕀ᄤ 㺖㒍ᅮ䞣䆞ᮁᮍ⊩DŽൟಲ䕀ᴎẄ㒧ᵘ㺖㒍ᇐ㟈 ⱘ༅ᬜऴ ҹϞˈ㺖㒍䖭ϔĀ䱤ᔶᴔā㹿ᔶ䈵 ഄ⿄Ўൟಲ䕀ᴎẄᅝܼ䖤㸠ⱘĀⰠ⮛āˈ᳝䲒থ ⦄ǃᯧᠽሩǃᔎ⸈ണⱘ⡍⚍ˈ㺖㒍㹿⿄Ўᮟ䕀ᴎẄ ϝᬙ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 ܗൟ˗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ܗൟ㦋ᕫϝᴵડᑨ᳆㒓ˈ Ң㗠ᅮ䞣䆞ᮁߎ㺖㒍ԡ㕂Ϣ㺖㒍⏅ᑺDŽ䆹ᡔᴃ៤ᵰ ⬉ǃ࣪ǃݯᎹㄝ乚ඳ㦋ᕫ៤ࡳᑨ⫼ˈৠᯊ䖬 ߎ⠜њljᇣ⊶᳝䰤ܗঞ݊Ꮉᑨ⫼NJϧ㨫ˈ݊ⷨお ៤ᵰĀൟಲ䕀ᴎẄ㒧ᵘ㺖㒍ⱘࡼᗕᅮ䞣䆞ᮁᡔᴃ Ϣᑨ⫼ā㦋ᕫњ ᑈᆊᡔᴃথᯢѠㄝ༪DŽ 催䞥ঢ় 䖥ᑈᴹ߯ᮄᦤߎњ㺙㋏㒳ᬙ䱰㞾 ᛜ䆞ᮁॳ⧚DŽ㺙ᬙ䱰ৃ৺݊䖤㸠Ёᕫࠄࠊ 㞾㸠⍜䰸˛ᬙ䱰㛑৺ڣҎࡼ⠽ⱘ⮒⮙ϔḋৃҹ Ā㞾ᛜā˛䖭ϔⳈᰃϔᡍᄺ㗙ݹᗱ㢺ᛇⱘᄺᴃ䯂 乬ˈ催䰶ⷨおᦤᓔথϔ⾡ᮄⱘϢ㺙ᬙ䱰᭫ ѝⱘ⧚䆎ᮍ⊩ˈᮼᬍবҙ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 ᤶǃѠҷᇣ⊶বᤶᇣ⊶বᤶㄝৃҹ䇈䛑ᰃ Ѣⱘ⧚ॳ⿃ݙ⡍ᕕ⊶ᔶߑ᭄ֵোߚ㾷ˈᮼ♉⌏ 䖤⫼Ϣ⡍ᕕ⊶ᔶⳌऍ䜡ⱘߑ᭄এདഄ໘⧚ֵ োˈᦤপᬙ䱰⡍ᕕˈҢ㗠ᅲ⦄ᬙ䱰䆞ᮁ DŽ ᬙ䱰䆞ᮁᮍ⊩ⷨおЁᦤߎњ䆌᳝ᬜⱘĀᳯ䯏 ᴎẄᬙ䱰䆞ᮁ⸔ⷨおᄬⱘ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ᄬϡ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⫳ᤳӸߎ⦄ᮽᳳᬙ䱰ˈᅗ᳝┰ᗻࡼᗕડ ᕟ ˈ݊ԧⱘⷨお䖛བϟ˖佪ܜḍⷨおᇍ䈵 ᑨⱘᖂᔅᗻ˗ড়ᬙ䱰㋏㒳ᬙ䱰⬅Ѣ㋴㗺ড় ⱘ⠽⧚⡍⚍ˈᓎゟⳌᑨ᭄ᄺᄺൟ˗✊ৢ䗮䖛ӓ Ӵ䗦䏃ᕘᴖˈᕔᕔᇐ㟈ऩϔⱘֵো໘⧚ᮍ⊩䲒 ⳳⷨお㦋ᕫ݊ડᑨ⡍ᕕ˗ݡ㒧ড়䆩偠ׂℷൟˈ ޚҹ᳝ᬜ⒃⑤ᬙ䱰៤DŽгℷЎབℸˈᇐ㟈བ㟾ぎ ⹂㦋ⶹᶤϔᬙ䱰ⱘ㸼ᕕDŽ䖭ϔডᓣⱘⷨ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ⱘ᳝ᬜ↉ˈгᰃᴎẄᬙ 䱰䆞ᮁᡔᴃⱘ䞡㽕⸔ձDŽ⬅Ѣ䗮ᐌ㦋ᕫᶤϔ 䱣ⴔᴎẄ㺙ⱘൟ࣪ǃᴖ࣪ǃ催䗳࣪ǃ㞾 ㋏㒳䕗ܼ䴶ⱘᬙ䱰᭄ḋᴀᰃϡ⦄ᅲⱘˈℸা᳝ ࡼ࣪ᱎ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ⱘ៤ᵰˈབ㺖㒍䕀ᄤ ᯊ᳝݊㞾ⱘӬ⚍ϡ䎇ˈ՟བϧᆊ㋏㒳䆞ᮁᡔᴃ ⱘס乥ડᑨᰃ Ϫ㑾 ᑈҷ㒭ߎⱘⷨ ᄬⶹ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ⱘ᭄ᄺᄺ ᴀ㦋পೄ䲒˗㊞ᬙ䱰䆞ᮁᡔᴃᕔᕔ䳔㽕⬅ܜ偠ⶹ ⶹ䆚ˈेᎹ㒧ᵘⱘㅔ࣪ᄺൟⱘᓎ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ˈϔϾൟㅔ࣪ড়⧚ǃᬙ䱰ᢳൟǃࠊ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⊩ᕜˈԚ䚼ߚᱎ 䖬䳔㽕Ꮉᅲ䰙ⱘ偠䆕ˈऩϔⱘᬙ䱰⡍ᕕᅲ䰙Ꮉ 㛑ᮍ⊩䛑䳔㽕⒵䎇ϔᅮⱘ؛䆒ᴵӊҎЎ䆒㕂ϔᅮ Ёᕔᕔৃ䘛㗠ϡৃ∖DŽ䖬᳝ˈⳂࠡ䩜ᇍᮟ䕀ᴎẄ ⱘখ᭄ˈℸⷨ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 ᇍᕔᴎẄϧ⫼ᴎẄⷨおैأᇥDŽ ĀҎ㗠ᓖāⱘॄ䈵ˈ䆞ᮁᮍ⊩ⱘᑓᗻᕫϡࠄ 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ⷁǃӬѦ㸹ˈ݊㾷އ䯂乬ⱘ㛑 䆞ᮁDŽᎹᑨ⫼ᅲ䏉㸼ᯢϡৠ㉏ൟⱘᴎẄᬙ䱰ࡼ Ӯᦤ催DŽℸˈ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 ᰃ᳝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ᯊˈᕔᴎẄⱘ⇨ 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⧚ঞᎹᑨ⫼ˈᇚЎⷨࠊߎ ᳝㞾ᛜࡳ㛑ⱘᮄϔҷᱎ㛑㺙ᦤկ⾥ᄺձDŽ [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↉៥ᴎẄᬙ䱰䆞ᮁ⸔ⷨお ᄬⱘ䯂乬ˈᘏ㒧䍋ᴹ᳝Āܿܿᇥā⦄䈵˖ⷨお ᬙ䱰㸼䈵ˈⷨおᬙ䱰ᴎ⧚ᇥ˗ⷨおᮟ䕀ᴎẄˈ ⷨおᕔᴎẄᇥ˗ⷨお䗮⫼ᴎẄˈⷨ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ӓⳳ᭄ˈⷨおᎹ᭄ᇥDŽ 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 ডᬙ䱰ᴀ䋼ⱘḍᴀॳˈࡴᔎᬙ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ǃൟ催䗳 ᴎẄ䆒ሖߎϡかˈབ亢⬉㺙ǃᎹϮ➗⇨䕂ᴎǃ 䪕䏃ࡼ䔺Ϣ催䪕ǃ亲㸠఼ࡼӴࡼࡳ⥛Ⳓᵘᴎ ㄝDŽ䩜ᇍ䖭ѯᮄൟᮟ䕀ᕔᴎẄⱘᴎ⬉⎆㋏㒳ˈ ݊⡍⅞᳡ᕍ⦃๗ϟ㋏㒳ⱘᬙ䱰ᴎ⧚ᬙ䱰ⓨ࣪ࡼ ᄺ䖬᳝ᕙѢ⏅ܹഄߚᵤঞⷨおDŽ՟བ䩜ᇍൟⱘϡ ᇍЁᬙ䱰ˈᓎゟ᭄ᄺᄺൟˈᨁᓎ䆩偠ᑇৄˈ ⷨおϡᇍЁ᠔ᇍᑨⱘᬙ䱰ᕕܚ乥䈅⡍ᕕ˗՟བ߽ ⫼䯈䱭ᴎᵘࡼᄺⱘⷨお៤ᵰˈⷨおϡৠ䯈䱭ᇣ ᇍᑨⱘֵো乥䈅⡍ᕕˈ⫮㟇ᓎゟ䍋䯈䱭ᇣֵো ⡍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৺ᄬˈ݊ᰃ㛑⹂ᅮᬙ䱰 ⱘԡ㕂ˈϝሖᰃ㛑⹂ᅮᬙ䱰ⱘᤳӸᑺˈ ಯሖᰃ࠽ԭᇓੑ乘⌟Ϣৃ䴴ᗻ䆘ԄDŽབᵰᇚϔǃ ѠሖⱘᎹ⿄Ўᅮᗻⷨおⱘ䆱ˈ䙷Мϝǃ ಯሖህᰃᅮ䞣ⷨおDŽᅮᗻⷨおᰃᅮ䞣ⷨおⱘ䞡㽕 ⸔ˈᅮ䞣ⷨおⱘϝಯሖⱘⷨお㋻ᆚⳌ䖲ˈ 䖭ᰃЎ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㉏ҹঞᑺˈҢ㗠ᧁ⼎䆒ᬙ䱰⢊ᗕⱘথ⫳ǃথ ሩঞⓨ࣪㾘ᕟˈҢ㗠ЎᴎẄ䆒ⱘᅝܼᗻߚᵤǃৃ 䴴ᗻ䆘Ԅᇓੑ乘⌟ᦤկ⸔ᗻձDŽ䩜ᇍ䞡㺙 ൟ㒧ᵘˈབ㟾ぎথࡼᴎ䕀ᄤǃൟ亲ᴎᴎ䑿ǃ ൟ亢ᴎ啓䕂ㆅൟড়ᴤ᭭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⦄ˈԚᰃᕔᕔᑓՓ ⫼ᯊˈ݊㊒ᑺϡ催ǃ⊯࣪㛑ϡᔎ䗮⫼ᗻ䕗Ꮒˈ 㗠ࠊ㑺њ݊ᎹЁⱘᑨ⫼DŽމϨˈ⬅Ѣᬙ䱰ⱘ ॳᕔᕔϡᰃऩϔⱘˈ⡍߿ᰃᮟ䕀ᴎẄᬙ䱰ᰃ⾡ ᬙ䱰㋴㗺ড়ⱘ㒧ᵰˈℸˈⳆⳂഄҹऩϔᬙ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ᕕֵܚোⱘㅔऩࡴˈ㗠ᰃ㸼⦄Ў ᬙ䱰⡍ᕕֵোⳌѦ㗺ড়ˈ䖭⾡㕸ᬙ䱰ⱘѻ⫳㒭ᬙ䱰 ⹂䆞ᏺᴹⱘೄ䲒DŽℸˈ㕸ᬙ䱰䆞ᮁᇚӮᰃҞ ৢᬙ䱰䆞ᮁজϔথሩᮍDŽ㕸ᬙ䱰䆞ᮁᅲ䰙Ϟᰃϔ Ͼᬙ䱰ⱘᓣ䆚߿䯂乬ˈ䳔㽕ⷨお㕸ᬙ䱰㗺ড়⡍ ᕕⱘϔᗻߚ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䱰䆞ᮁⱘᛣНѢᦤկĀ⊏⭫ ᮍḜāˈ㗠ϡᰃᓔĀ⅏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ˈ᳝⮛⢊ϡᯢᰒǃ⡍ᕕֵᙃᖂᔅㄝ⡍⚍˗ гᣛᴎẄᬙ䱰㱑✊থሩࠄЁᰮᳳˈԚᬙ䱰⡍ᕕ㹿ᔎ ాໄ⏍≵ˈ㟈Փᬙ䱰⡍ᕕᖂᔅˈϡᯧ䆚߿DŽℸˈ 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ⱘᇘ݇㋏ˈҢ㗠ֱ䆕ᖂᔅᬙ䱰⡍ᕕᦤ পⱘ⹂ޚᗻ᳝ᬜᗻDŽ 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ᙷDŽℸˈҞৢⱘⷨおᑨ䆹⊼䞡 ᇚᴎẄ䆒ⳟሖǃ䴲㒓ᗻⱘᴖᭈԧˈ佪ܜ ᓎゟ㓈খ᭄ᴖ㋏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ˈⴔ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ˈϡᮁᬊ᭄ᄺǃֵᙃǃᄺᴤ ᭭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ᅮⱘᬃᣕϟˈݙ ᴎẄᬙ䱰䆞ᮁ乚ඳ⧚䆎⸔ǃḚᶊԧ㋏Ꮉᑨ ⫼ㄝᮍ䴶ϡᮁথሩᅠˈপᕫ䞣᳝㞾Џⶹ䆚ѻ ᴗⱘⷨお៤ᵰDŽ䱣ⴔᆊ䖯ϔℹࡴᇍ⾥ᄺ䞥ⱘ ᡩܹˈᴹ䆹乚ඳ⸔ⷨおᑨ䆹خҔМǃབԩخㄝ 䯂乬䳔㽕䖯ϔℹഄᗱ㗗ᘏ㒧DŽЎ䖯ϔℹ⧚⏙ᴀ乚 ඳⱘᴹথሩᮍˈ NSFC ᴎẄᎹᄺ⾥ৢܜѢ 2010 ᑈ 12 ᳜ 2011 ᑈ 11 ᳜㽓ᅝᆊᑘীᓔ њĀᴎẄᬙ䱰䆞ᮁ⸔ⷨお催ሖ䆎യāDŽϢӮϧᆊᄺ 㗙⏅ܹ䅼њ䆹乚ඳᴹথሩ䞡⚍ǃথሩᮍথ ሩⳂᷛDŽᴀ᭛ℷᰃᇍݙᴎẄᬙ䱰䆞ᮁⷨおথ ሩঞ䞥䌘ࡽ៤ᵰ䇗ⷨⱘ⸔Ϟˈ㓐ড়њϸӮ䆂 ⱘⷨ䅼៤ᵰˈᇍᴎẄᬙ䱰䆞ᮁⱘ⸔ⷨおǃॳྟ߯ ᮄᴹথሩ䖯㸠㋶ᗻᘏ㒧DŽ Ā䯂⏴ાᕫ⏙བ䆌ˈЎ᳝⑤༈⌏∈ᴹāDŽᴎẄᬙ 䱰䆞ᮁ䖬䖰≵᳝ᔶ៤ϔ䮼ᅠⱘᄺ⾥ˈҢџ⑤༈ ⸔ⷨおᅲ⦄Ⳍ݇ᡔᴃさ⸈ᰃࡼ݊㒻㓁থሩⱘॳ ࡼDŽሩᳯᴹˈᴎẄᬙ䱰䆞ᮁⷨおᑨ䆹ҹᎹᑨ ⫼Ўゟ䎇⚍ˈҹᑩሖ⸔ⷨおЎˈҹ㾷އ⸔ ⾥ᄺ䯂乬Ўᬃ᷅ˈҹ㞾Џ߯ᮄⷨおЎⳂᷛ˗ৠᯊˈ 哧ࢅᑓᄺ㗙㾘ߦᓎゟᷛⱘޚᬙ䱰䆞ᮁ᭄ᑧˈ ᅲ⦄ᷛޚ䆩偠ৄ᭄݅ѿǃൟᎹḜ՟᭄݅ ѿǃᷛޚㅫ⊩݅ѿᷛޚ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҂. ៥ᅝܼ⫳ѻ(ᅝܼࠊ䗴)ⱘ ⾥ᄺথሩ㢹ᑆ䯂乬[J]. ᴎẄᎹᄺˈ2007ˈ43(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䞥ྨਬӮᎹϢᴤ᭭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. Ѣᔶय़⬉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⫼Ꮉāᄺ⾥䖥ᳳⱘথሩ[J]. ᤃࡼᎹ ᄺˈ2007ˈ20(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ᗻࡼᄺॳ⧚[J]. ᴎẄ Ꮉᄺˈ2007ˈ43(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ᥬˈढᑇ. 催䗳䔻ᴎ㢹ᑆᤃࡼ䯂乬üüᴖᴎ⬉㋏ 㒳㗺ড়ࡼᄺⷨ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∸ᰧ⨯ˈѥ. ⺄ᨽ䕀ᄤ㋏㒳ⱘ〇ᅮᗻ[J]. ⏙ ढᄺᄺˈ2000ˈ40(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]. ᴎẄᎹᄺˈ2008ˈ44(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. ԩℷˈ䀒㡇䰇ˈ䰜䲾ዄˈㄝˊ⿃ݙবᤶॳ⧚ϢᴎẄ ᬙ䱰䆞ᮁ[J]. ᤃࡼᎹᄺˈ2007ˈ20(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]. ᄺᄺˈ2008ˈ40(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ᴎ݅ᤃᴎẄ ㋏㒳ᮽᳳᬙ䱰Ẕ⌟Ёⱘᑨ⫼[J]. ᴎẄᎹᄺˈ2009ˈ 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]. ⠽⧚ᄺˈ2008ˈ57(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῞ৃ⏙ˈਈҞˈㄝ. 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ᄺᄺˈ2002ˈ36(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˖⏙ढᄺˈ1993. 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]. ᴎẄᎹᄺˈ2005ˈ41(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ᗻࡼᄺϢࠊⱘ݇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ⱘᅮⳆֵ and control for mechanical equipment[M]. Beijing˖China োߚ⾏ᮄᮍ⊩ঞᑨ⫼[J]. ᴎẄᎹᄺˈ2009ˈ 45(8)˖ Machine Pressˈ2011. 64-70. [61] ԩℷˈ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. ԩℷˈ䰜䲾ዄ. ᇣ⊶᳝䰤⧚ܗ䆎ⷨおϢᎹᑨ⫼ⱘ䖯 ሩ[J]. ᴎẄᎹᄺˈ2005ˈ41(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]ˊЁᎹ⾥ ᄺˈ2005ˈ7(5)˖43-48. GAO JinjiˊResearch on the fault self-recovery principle of equipment system[J]. Engineering Scienceˈ2005ˈ 7(5)˖43-48. ԩℷˈ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Ꮉˈ2012(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⫳ˈमˈᬭᥜˈमⷨお⫳ᇐᏜDŽ E-mail˖gbwang@nsfc.gov.cn
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