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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 應用力學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78280
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor舒貽忠(Yi-Chung Shu)
dc.contributor.authorYen-Wei Liaoen
dc.contributor.author廖晏瑋zh_TW
dc.date.accessioned2021-07-11T14:49:11Z-
dc.date.available2025-08-10
dc.date.copyright2020-09-14
dc.date.issued2020
dc.date.submitted2020-08-10
dc.identifier.citation[1] A. H. Bonnett and C. Yung. Increased Efficiency Versus Increased Reliability. IEEE Industry Applications Magazine, 14: 29-36, 2008.
[2] X. Zhang, Z. Liu, J. Wang and J. Wang. Time-Frequency Analysis for Bearing Fault Diagnosis Using Multiple Q-Factor Gabor Wavelets. ISA Transactions, 87: 225-234, 2019.
[3] W. Huang, G. G, N. Li, X. Jiang and Z. Zhu. Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 68: 2819-2829, 2019.
[4] S. T. Wan and L. Y. Lv. The fault diagnosis method of rolling bearing based on wavelet packet transform and zooming envelope analysis. 2007 International Conference on Wavelet Analysis and Pattern Recognition, 3: 1257-1261, 2007.
[5] P. G. Kulkarni, A. D. Sahasrabudhe. Application of Wavelet Transform for Fault Diagnosis of Rolling Element Bearings. International Journal of Scientific Technology Research, 2: 138-148, 2013.
[6] Y. Zhang. Hilbert-Huang Transform and Marginal Spectrum for Detection of Bearing Localized Defects. 2006 6th World Congress on Intelligent Control and Automation, 2: 5457-5461, 2006.
[7] 李雄,「風力發電機振動量測與分析」,行政院原子能委員會委託研究計畫研究報告,國立中央大學機械系,2011。
[8] X. Xi and D. D. L. Chung. Electret, Piezoelectret and Piezoresistivity Discovered in Steels, with Application to Structural Self-Sensing and Structural self-powering. Smart Materials and Structures, 28: 075028, 2019.
[9] P. Zhu, Y. Wang, M. Sheng, Y. Wang, Y. Yu and Y. Deng. Flexible Active Dual-Parameter Sensor for Sensitive Temperature and Physiological Signal Monitoring via Integrating Thermoelectric and Piezoelectric Conversion. Journal of Materials Chemistry A, 7: 8258-8267, 2019.
[10] N. Aboulfotoh and, J. Twiefel. A Study on Important Issues for Estimating the Estimating the Effectiveness of the Proposed Piezoelectric Energy Harvesters under Volume Constraints. Applied Sciences, 8: 75, 2018.
[11] H. Abdelmoula1, H. L. Dai, A. Abdelkefi1 and L. Wang. Control of Base-Excited Dynamical Systems through Piezoelectric Energy Harvesting Absorber. Smart Materials and Structures, 26: 095013, 2017.
[12] C. K. Thein, F. M Foong, Y. C. Shu. Spring Amplification and Dynamic Friction Modelling of a 2DOF/2SDOF System in an Electromagnetic Vibration Energy Harvester–Experiment, Simulation, and Analytical Analysis. Mechanical Systems and Signal Processing, 132: 232-252, 2019.
[13] C. K. Thein, F. M Foong, Y. C. Shu. Damping Ratio and Power Output Prediction of an Electromagnetic Energy Harvester Designed through Finite Element Analysis. Sensors and Actuators A: Physical, 286: 220-231, 2019.
[14] L. G. W. Tvedt, D. S. Nguyen and E. Halvorsen. Nonlinear Behavior of an Electrostatic Energy Harvester Under Wide and Narrowband Excitation. Journal of Microelectromechanical System, 19: 305-316, 2010.
[15] P. Basset, D. Galayko, A. M. Paracha, F. Marty, A. Dudka and T. Bourouina. A Batch-Fabricated and Electret-Free Silicon Electrostatic Vibration Energy Harvester. Journal of Micromechanics and Microengineering, 19: 115025, 2009.
[16] S. Roundy, P. K. Wright and J. Rabaey. A Study of Low Level Vibrations as a Power Source for Wireless Sensor Nodes. Computer Communications, 26: 1131-1144, 2003.
[17] P. D. Mitcheson, E. M. Yeatman, G. K. Rao, A. S. Holmes and T. C. Green. Energy Harvesting from Human and Machine Motion for Wireless Electronic Devices. Proceedings of the IEEE, 96: 1457-1486, 2008.
[18] E. E. Aktakka and K. Najafi. A Micro Inertial Energy Harvesting Platform with Self-Supplied Power Management Circuit for Autonomous Wireless Sensor Nodes. IEEE Journal of Solid-State Circuit, 49: 2017-2029, 2014.
[19] Y. B. Jeon, R. Sood, J. H. Jeong and S. G. Kim. MEMS Power Generator with Transverse Mode Thin Film PZT. Sensors and Actuators A, 122: 16-22, 2005.
[20] S. C. Lin and W. J. Wu. Piezoelectric Micro Energy Harvesters Based on Stainless-Steel Substrates. Smart Materials and Structures, 22: 045016, 2013.
[21] W. He and X. Zhou. Application of the Wavelet-SOFM Network in Roll Bearing Defect Diagnosis. 2009 WRI Global Congress on Intelligent Systems, 4: 8-12, 2009.
[22] T. Yu and Q. Han. Crack Fault Identification in Rotor Shaft with Artificial Neural Network. 2010 Sixth International Conference on Natural Computation, 3: 1629-1634, 2010.
[23] I. Y. Önel and M. E. H. Benbouzid. Induction Motor Bearing Failure Detection and Diagnosis: Park and Concordia Transform Approaches Comparative Study. IEEE/ASME Transactions on Mechatronics, 13: 257-262, 2008.
[24] B. M. Vamsi Krishna and M. Vishwakarma. A Review on Vibration-Based Fault Diagnosis in Rolling Element Bearings. International Journal of Applied Engineering Research, 13: 6188-6192, 2018.
[25] A. Boudiaf, A. Djebala, H. Bendjma, A. Balaska and A. Dahane. A Summary of Vibration Analysis Techniques for Fault Detection and Diagnosis in Bearing. 2016 8th International Conference on Modelling, Identification and Control (ICMIC), 37-42, 2016.
[26] D. Wang, K. Tsui and Q. Miao. Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators. IEEE Access, 6: 665-676, 2018.
[27] Y. K. Chaudhari, J. A. Gaikwad and J. V. Kulkarni. Vibration Analysis for Bearing Fault Detection in Electrical Motors. 2014 First International Conference on Networks Soft Computing (ICNSC2014), 146-150, 2014.
[28] S. Kulkarni, A. Bewoor. Vibration Based Condition Assessment of Ball Bearing with Distributed Defects. Journal of Measurements in Engineering, 4: 87-94, 2016.
[29] Z. Wang, L. Tan, X. Pan, G. Liu, Y. He, W. Jin, M. Li, Y. Hu and H. Gu. Self-Powered Viscosity and Pressure Sensing in Microfluidic Systems Based on the Piezoelectric Energy Harvesting of Flowing Droplets. ACS Applied Materials Interfaces, 9: 28586-28595, 2017.
[30] C. L. Kuo, S. C. Lin and W. J. Wu. Fabrication and Performance Evaluation of a Metal-Based Bimorph Piezoelectric MEMS Generator for Vibration Energy Harvesting. Smart Materials and Structures, 25: 105016, 2016.
[31] A. R. G. Silveira and G. B. Daniel. Piezoelectric Harvester for Smart Tilting Pad Journal Bearings. Energy Conversion and Management, 205: 112338, 2020.
[32] P. Pillatsch, E. M. Yeatman and A. S. Holmes. A Scalable Piezoelectric Impulse-Excited Energy Harvester for Human Body Excitation. Smart Materials and Structures, 21: 115018, 2012.
[33] L. Zuo and X. Tang. Large-Scale Vibration Energy Harvesting. Journal of Intelligent Material Systems and Structures, 24: 1405-1430, 2013.
[34] A. Bibo and M. F. Daqaq. Energy Harvesting under Combined Aerodynamic and Base Excitations. Journal of Sound and Vibration, 332: 5086-5102, 2013.
[35] Y. J. Wang, T. Y. Chuang and J. H. Yu. Design and Kinetic Analysis of Piezoelectric Energy Harvesters with Self-Adjusting Resonant Frequency. Smart Materials and Structures, 26: 095037, 2017.
[36] C. R. Bowen and M. H. Arafa. Energy Harvesting Technologies for Tire Pressure Monitoring Systems. Advanced Energy Materials, 5: 1401787, 2015.
[37] F. Qian, W. Zhou, S. Kaluvan, H. Zhang and L. Zuo. Theoretical Modeling and Experimental Validation of a Torsional Piezoelectric Vibration Energy Harvesting System. Smart Materials and Structures, 27: 045018, 2018.
[38] H. Fu and E. M. Yeatman. A Methodology for Low-Speed Broadband Rotational Energy Harvesting Using Piezoelectric Transduction and Frequency Up-Conversion. Energy, 125: 152-161, 2017.
[39] Y. C. Shu, W. C. Wang and Y. P. Chang. Electrically Rectified Piezoelectric Energy Harvesting Induced by Rotary Magnetic Plucking. Smart Materials and Structures, 27: 125006, 2018.
[40] L. Gu and C. Livermore. Passive Self-Tuning Energy Harvester for Extracting Energy from Rotational Motion. Applied Physics Letters, 97: 081904, 2010.
[41] T. T. Hsieh, S. A. Chen, Y. C. Shu. Investigation of Various Cantilever Configurations for Piezoelectric Energy Harvesting under Rotational Motion. Active and Passive Smart Structures and Integrated Systems XIII, 10967: 1096719, 2019.
[42] 陳士惟,「旋轉式徑向磁力於壓電振能擷取之研究」,國立台灣大學應用力學所,2019。
[43] A. Erturk and D. J. Inman. A Distributed Parameter Electromechanical Model for Cantilevered Piezoelectric Energy Harvesters. Journal of Vibration and Acoustics, 130: 041002-1, 2008.
[44] 陳彥禎,「混合陣列式壓電振子應用於能量擷取之實驗驗證」,國立台灣大學應用力學所,2019。
[45] Y. C. Shu and I. C. Lien. Analysis of Power Output for Piezoelectric Energy Harvesting Systems. Smart Materials and Structures, 15: 1499-1512, 2006.
[46] K. W. Yung, P. B. Landecker and D. D. Villani. An Analytic Solution for the Force Between Two Magnetic Dipoles. Magnetic and Electrical Separation, 9: 39-52, 1998.
[47] A. Das and S. Ray. A Review on Diagnostic Techniques of Bearing Fault and its modeling in Induction Motor. 2020 IEEE Calcutta Conference (CALCON), 502-505, 2020
[48] P. P. Kharche and S. V. Kshirsagar. Review of Fault Detection in Rolling Element Bearing. International Journal of Innovative Research in Advanced Engineering (IJIRAE), 1: 169-174, 2014.
[49] F. Immovilli and M. Cocconcelli. Experimental Investigation of Shaft Radial Load Effect on Bearing Fault Signatures Detection. IEEE Transactions on Industry Applications, 53: 2721-2729, 2017.
[50] L. Zhu, W. Dai, G. Luo and R. Du. Fault Diagnosis of Rolling Bearing Based on Time and Frequency Domain Analysis and EMD. 2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-6, 2019.
[51] N. Sikder, K. Bhakta, A. Al Nahid and M. M. M. Islam. Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT-based Preprocessing. 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), 564-569, 2019.
[52] O. R. Seryasat, M. A. shoorehdeli, F. Honarvar and A. Rahmani. Multi-Fault Diagnosis of Ball Bearing Using FFT, Wavelet Energy Entropy Mean and Root Mean Square (RMS). 2010 IEEE International Conference on Systems, Man and Cybernetics, 4295-4299, 2010.
[53] I. Attoui, N. Boutasseta, N. Fergani, B. Oudjani and A. Deliou. Vibration-Based Bearing Fault Diagnosis by an Integrated DWT-FFT Approach and an Adaptive Neuro-Fuzzy Inference System. 2015 3rd International Conference on Control, Engineering Information Technology (CEIT), 1-6, 2015.
[54] M. M. Tahir, A. Q. Khan, N. Iqbal, A. Hussain and S. Badshah. Enhancing Fault Classification Accuracy of Ball Bearing Using Central Tendency Based Time Domain Features. IEEE Access, 5: 72-83, 2017
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78280-
dc.description.abstract本論文提出了一種能夠從旋轉式徑向週期性磁力收集能量的壓電感測器,此裝置可藉由量測到的電壓變化來區分健康與損壞軸承,因此可應用於軸承健康檢測。此裝置由固定在軸承座上並連接到標準介面電路的壓電懸臂樑組成,懸臂樑末端的磁鐵被固定在負載上旋轉的磁鐵沿徑向激振。當旋轉機械中的滾珠軸承出現損壞時,會產生隨機晃動,導致磁激振作用力產生變化,因此可藉由量測出的振動訊號判斷壓電片輸出電壓的變化。結果顯示,當軸承故障時,量測出的頻率響應輸出功率值會低於在健康軸承下量測到的輸出功率值,因此可判斷對應的軸承是否損壞。未來將建置訊號傳送模組取代外部振動訊號量測,達到一完整自供電壓電感測器。zh_TW
dc.description.abstractThe paper proposes a piezoelectric device which is capable of harvesting energy from the radial direction of rotary magnetic plucking. This device is able to distinguish between the healthy and faulty ball bearings by measuring the change of piezoelectric voltage. Indeed, the device consists of a piezoelectric cantilever beam attached to the standard interface circuit. Its tip magnet is excited along the radial direction by a rotating magnet affixed to the fly wheel. The interaction between these two magnets is perturbed due to the induced excitation by the faulty bearing, giving rise to the change of the output voltage. The result shows that the voltage frequency response in the case of the faulty bearing is typically smaller than that of the healthy bearing. Thus, the diagnosis of the healthy bearing can be achieved by detecting the change of output voltage. Finally, a module used for sending voltage readings to a smartphone intermittently will be setup in the near future. The outcome of it is the development of a self-powered sensor for the health monitoring of bearings.en
dc.description.provenanceMade available in DSpace on 2021-07-11T14:49:11Z (GMT). No. of bitstreams: 1
U0001-1008202016142700.pdf: 5563472 bytes, checksum: b5267d7db25305ef5c6cec63c34fef3d (MD5)
Previous issue date: 2020
en
dc.description.tableofcontents誌謝 i
摘要 ii
ABSTRACT iii
目錄 iv
圖目錄 vi
表目錄 viii
Chapter 1 緒論 1
1.1 研究動機 1
1.2 文獻回顧 2
1.3 論文架構 8
Chapter 2 壓電懸臂樑模型 9
2.1 壓電效應 9
2.1.1 正壓電效應 9
2.1.2 逆壓電效應 10
2.2 線性壓電材料之本構方程式 11
2.3 複合壓電懸臂樑之數學模型 13
2.4 統御方程式 18
Chapter 3 週期性磁力之數學模型 22
3.1 磁位能 22
3.2 週期性磁力探討 25
3.3 磁力之傅立葉展開及分析 26
Chapter 4 滾珠軸承介紹與分析 28
4.1 滾珠軸承基本架構 28
4.2 滾珠軸承失效形式 29
4.3 滾珠軸承損壞分析方法 31
4.3.1 時域訊號分析 31
4.3.2 頻域訊號分析 33
Chapter 5 實驗儀器架設與結果分析 35
5.1 實驗儀器架設 35
5.2 實驗流程 39
5.2.1 磁鐵強度指標 39
5.2.2 等效材料參數測量 40
5.2.3 軸承狀態檢測 41
5.2.4 m+p Analyzer 動態信號分析儀(頻譜分析儀)於量測上之應用 42
5.3 實驗結果與討論 44
5.3.1 磁鐵強度指標 44
5.3.2 壓電懸臂樑應用於軸承損壞檢測 46
5.3.3 m+p Analyzer 動態信號分析儀(頻譜分析儀)於量測上之應用 52
Chapter 6 結論與未來展望 60
6.1 結論 60
6.2 未來展望 62
參考文獻 63
附錄 70
dc.language.isozh-TW
dc.subject健康與損壞滾珠軸承zh_TW
dc.subject軸承健康監測zh_TW
dc.subject磁力激振zh_TW
dc.subject壓電能量擷取系統zh_TW
dc.subject自供電感測器zh_TW
dc.subjectMagnetic Pluckingen
dc.subjectHealthy and Faulty Ball Bearingsen
dc.subjectHealth Monitoring of Bearingsen
dc.subjectSelf-Powered Sensoren
dc.subjectPiezoelectric Energy Harvestingen
dc.title壓電振子應用於能量擷取與滾珠軸承損壞檢測之研究zh_TW
dc.titleDesign of a Piezoelectric Energy Harvester for Fault Diagnosing of Ball Bearings
en
dc.typeThesis
dc.date.schoolyear108-2
dc.description.degree碩士
dc.contributor.oralexamcommittee蘇偉儁(Wei-Jiun Su),王俊傑 (Chun-Chieh Wang)
dc.subject.keyword健康與損壞滾珠軸承,軸承健康監測,磁力激振,壓電能量擷取系統,自供電感測器,zh_TW
dc.subject.keywordHealthy and Faulty Ball Bearings,Health Monitoring of Bearings,Magnetic Plucking,Piezoelectric Energy Harvesting,Self-Powered Sensor,en
dc.relation.page79
dc.identifier.doi10.6342/NTU202002827
dc.rights.note有償授權
dc.date.accepted2020-08-11
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept應用力學研究所zh_TW
dc.date.embargo-lift2025-08-10-
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