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2. Bruel and Kjar puhlication
"Automated Machine-health Monitoring System," Brochure BP 0258. "Condition Monitoring of Industrial Machinery Using Mechanical Vibration as a Machine-health Indicator," Brochure BG0016.
"Machine-health Monitoring using FFT Frequency Analyzer Type 2031 or 2033 with a Desk-top Calculator," Application Note 169-80.
"Vibration Measurements in Predictive Maintenance," Application Note BO 0094.
3. SKF, CM2030-EN 1991 "Trouble Free Operation Through Condition Monitoring," SKF CM 2030-EN USA. Inc.
4. Hp Application Notes:
243 The Fundamental of Signal Analysis. The time, frequency, and modal domains are explained without rigorous mathematics. Provides a block-diagram level understanding of DSAs.
243-1 Effective Machinery Measurements using Dynamic Signal Analyzers.
243-3 The Fundamentals of Modal Testing. The basics of structural
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14. Osuagwu, C. C. and Thomas, D. W.,"Effect of Inter-Modulation and Quasi-Periodic Instability in the Diagnosis of Rolling Element Incipient Defect﹐"ASME J. Mech. Des., 1982, April, V.104, pp.296-302.
15. Barkov, A., and Barkova, N., "Condition Assessment and Life Prediction of Rolling Element Bearings-Part I," Sound and Vibration, 1995, June, pp.10-25.
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19. Bruel & Kjar application notes
Peak and Envelope Analysis for Bearing Fault Detection.
Detecting faulty rolling-element bearings," BO 0210-11.
20. 黃志昌, "滾動軸承診斷技術," 機械月刊,1984,第九卷第五期, 115-125.21. Taylor, J. I., "Identification of Bearing Defects by Spectral Analysis," ASME J. Mech. Des. V.102, 1980, April, pp.199-204.
22. Martin, K. F., and Thorpe, P., "Normalised Spectra in Monitoring of Rolling Bearing Element," Wear, 1992, Vol.159, pp.153-160.
23. 沈毓泰, "滾動軸承診斷器," 1992, 中山大學博士論文.24. 李原吉, "應用解調變分析於軸承的故障診斷," 精機雜誌,1995 4/4,50-54.