This chapter outlines three generic types of signatures encountered in monitoring of manufacturing process and equipment, i. e. periodic type including modulation, transient type, and dynamics changing type, and then summarizes signal processing algorithms and their suitability for various types of signatures under four categories, i. e. time domain, frequency domain, time-frequency distribution and model based methods. Additionally, decision-making strategies are discussed


Acoustic Emission Tool Wear Discrete Fourier Transform Energy Operator Tool Condition Monitoring 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [10.1]
    Dornfeld, D. A., Lee, Y. and Chang, A., 2003, “Monitoring of Ultraprecision Machining Processes,” International Journal of Advance Manufacturing Technology, 21, pp. 571–578.CrossRefGoogle Scholar
  2. [10.2]
    Iwata, K. and Moriwaki, T., 1977, “An Application of Acoustic Emission Measurements to In-process Sensing of Tool Wear,” Annals CIRP, 26(1), pp. 21–26.Google Scholar
  3. [10.3]
    Maragos, P., Quatieri, T. F. and Kaiser, J. F., 1993, “On Amplitude and Frequency Demodulation Using Energy Operators,” IEEE Transactions on Signal Processing, 41(4), pp. 1532–1550.zbMATHCrossRefGoogle Scholar
  4. [10.4]
    Li, C. J. and Wu, S. M., 1989, “On-line Detection of Localized Defects in Bearings by Pattern Recognition Analysis,” ASME J. of Engineering for Industry, 111(4), pp. 331–336.Google Scholar
  5. [10.5]
    Oppenheim, A. V. and Schafer, R. W. 1975, Digital Signal Processing, Prentice Hall, NJ.zbMATHGoogle Scholar
  6. [10.6]
    Koh, C. K. H., Shi, J. and Williams, W., 1995, “Tonnage Signature Analysis Using the Orthogonal (Harr) Transforms,” NAMRI/SME Transactions, 23, pp. 229–234.Google Scholar
  7. [10.7]
    Li, C. J., 2001, “Diagnostics: Gear vibrations and diagnostics,” Encyclopedia of Vibration, Editors: Braun, S. G., Ewins, D. J. and Rao, S. S., Academic Press.Google Scholar
  8. [10.8]
    Choy, F. K., Braun, M. J., Polyshchuk, V., Zakrajsek, J. J., Townsend, D. P. and Handschuh, R. F., 1994, “Analytical and Experimental Vibration Analysis of a Faulty Gear System,” NASA Technical Memorandum, 1.15:106689.Google Scholar
  9. [10.9]
    Li, C. J., Ma, J., Hwang, B. and Nickerson, G. W., 1991, “Pattern Recognition Based Bicoherence Analysis of Vibrations for Bearing Condition Monitoring,” Proceedings of Symposium on Sensors, Controls and Quality Issues in Manufacturing, ASME Winter Annual Meeting, Atlanta, GA, PED-55, Edited by T. I. Liu, C. H. Meng and N. H. Chao, ASME, New York, pp. 1–11.Google Scholar
  10. [10.10]
    Capdessus, C., Sidahmed, M. and Lacoume, J. L., 2000, “Cyclostationary Processes: Application in Gear Faults Early Diagnosis,” Mechanical Systems and Signal Processing, 14(3), pp. 371–385.CrossRefGoogle Scholar
  11. [10.11]
    Grossmann, A., 1988, “Wavelet Transforms and Edge Detection”, in Stochastic Processes in Physics and Engineering, S. Albeverio et al., eds., D. Reidel Publishing Co., Dordrecht, Holland, pp. 149–157.Google Scholar
  12. [10.12]
    Choi, H. and Williams, W. J., 1989, “Improved Time-frequency Representation of Multicomponent Signals Using Exponential Kernels”, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37(6), pp. 862–871.CrossRefGoogle Scholar
  13. [10.13]
    Li, C. J. and Tzeng, T. C., 2000, “Muliti-Milling-Insert Wear Assessment Using Nonlinear Virtual Sensor, Time-Frequency Distribution and Neural Networks,” Mechanical Systems and Signal Processing, 14(6), pp. 945–957.CrossRefGoogle Scholar
  14. [10.14]
    Szabo, B., Wu, S. M., 1991, “On-line techniques for tool condition monitoring in milling operations”, IFAC Symposia Series-Proceedings of a Triennial World Congress, 5, pp. 59–64.Google Scholar
  15. [10.15]
    Li, C. J. and Limmer, J. D., 2000, “Model-Based Condition Index For Tracking Gear Wear and Fatigue Damage,” Wear, 241, pp. 26–32.CrossRefGoogle Scholar
  16. [10.16]
    Ma, J. and Li, C. J., 1996, “Gear Defect Detection through Model-Based Wideband Demodulation of Vibrations,” Mechanical Systems and Signal Processing, 10(5), pp. 653–665.MathSciNetCrossRefGoogle Scholar
  17. [10.17]
    Park, S. S. and Altintas, Y., “Dynamic Compensation of Spindle Integrated Force Sensors with Kalman Filter”, ASME Journal of Dynamic Systems, Measurement and Control, in press.Google Scholar
  18. [10.18]
    Batayneh, W. M., 2005, “Beam Crack Diagnosis using Embedded Modeling”, Ph.D. thesis, Rensselaer Polytechnic Institute, Troy, New York.Google Scholar
  19. [10.19]
    Li, C. J. and Lee, H., 2005, “Gear Fatigue Crack Prognosis Using Embedded Model, Gear Dynamic Model and Fracture Mechanics,” Mechanical Systems and Signal Processing, 19(4), pp. 836–846.MathSciNetCrossRefGoogle Scholar
  20. [10.20]
    McKee, K. and Li, C. J., 2003 “Rotor Transverse Crack Detection and Diagnosis Using Embedded Modeling”, Proceedings of ASME IMECE, 3, Paper No, IMECE 43504.Google Scholar
  21. [10.21]
    Gong, L., Jwo, W. and Tang, K., 1997, “Using On-line Sensors in Statistical Process Control,” Management Science, 43(7), pp. 1017–1029.zbMATHGoogle Scholar
  22. [10.22]
    1997, “Tool Monitoring for the Protection and Unsupervised Operation of Machine Tools”, brochure of Nordmann Company, Köln, Germany.Google Scholar
  23. [10.23]
    Hastie, T. and Stuetzle, W., 1989, “Principal Curves,” Journal of the American Statistical Association, 84, pp. 502–516.zbMATHMathSciNetCrossRefGoogle Scholar
  24. [10.24]
    K. Jemielniak, 1999, “Commercial Tool Condition Monitoring Systems,” International Journal of Advanced Manufacturing Technology, 15, pp. 711–721.CrossRefGoogle Scholar
  25. [10.25]
    White, C., 1977, “A Markov Quality Control Process Subject to Partial Observation,” Management Science, 23, pp. 843–852.zbMATHCrossRefGoogle Scholar
  26. [10.26]
    Li, C. J. and McKee, K., 2001, “Diagnostics: Bearing (Roller & Journal) Vibrations and Diagnostics,” Encyclopedia of Vibration, Editors: Braun, S. G., Ewins, D. J. and Rao, S. S., Academic Press.Google Scholar

Copyright information

© Springer-Verlag London Limited 2006

Authors and Affiliations

  • C. James Li
    • 1
  1. 1.Rensselaer Polytechnic InstituteTroyUSA

Personalised recommendations