Advertisement

Faults and Data Acquisition

  • Nishchal K. VermaEmail author
  • Al Salour
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 256)

Abstract

This chapter provides detail about the data acquisition process. It is the foremost step of a fault diagnosis framework where machine characteristics are measured and recorded for further analysis. The chapter starts with an introduction of air compressor, its parts, working principle, and common occurring faults. It further presents a methodology of placing the sensors on a machine known for sensitive position analysis. A case study on air compressor and motor has been presented at the end of the chapter.

References

  1. 1.
    Verma, N.K., Sevakula, R.K., Dixit, S., Salour, A.: Intelligent condition based monitoring using acoustic signals for air compressors. IEEE Trans. Rel. 65(1), 291–309 (2016)CrossRefGoogle Scholar
  2. 2.
    Verma, N.K., Sarkar, S., Dixit, S., Sevakula, R.K., Salour, A.: Android app for intelligent CBM. In: 22nd IEEE Symposium on Industrial Electronics, Taipei, Taiwan, pp. 1–6 (2013)Google Scholar
  3. 3.
    Verma, N.K., Singh, J.V., Gupta, M., Sevakula, R.K., Dixit, S.: Windows mobile and tablet app for acoustic signature machine health monitoring. In: 9th International Conference on Industrial and Information Systems, Gwalior, India, pp. 1–6 (2014)Google Scholar
  4. 4.
    Verma, N.K., Dev, R., Dhar, N.K., Singh, D., Salour, A.: Real-time remote monitoring of an air compressor using MTConnect standard protocol. In: IEEE International Conference on Prognostics and Health Management, Texas, USA, pp. 109–116 (2017)Google Scholar
  5. 5.
    Verma, N.K., Sharma, T., Maurya, S., Singh, D., Salour, A.: Real-time monitoring of machines using open platform communication. In: IEEE International Conference on Prognostics and Health Management, Texas, USA, pp. 124–129 (2017)Google Scholar
  6. 6.
    Verma, N.K., Jagannatham, K., Bahirat, A., Shukla, T., Subramaniam, T.S.S.: Statistical approach for finding sensitive positions for condition based monitoring of reciprocating air compressors. In: Proceedings of IEEE Control and System Graduate Research Colloquium Incorporating 2011 IEEE International Conference on System Engineering and Technology, Selangor, Malaysia, pp. 10–14 (2012)Google Scholar
  7. 7.
    Verma, N.K., Jagannatham, K., Bhairat, A., Shukla, T., Salour, A.: Finding sensitive sensor positions under faulty condition of reciprocating air compressors. In: IEEE Recent Advances in Intelligent Computational Systems, Trivandrum, India, pp. 242–246 (2011)Google Scholar
  8. 8.
    Verma, N.K., Kumar, P., Sevakula, R.K., Dixit, S., Salour, A.: Ranking of sensitive positions based on statistical parameters and cross correlation analysis. In: 6th International Conference on Sensing Technology (ICST), Kolkata, India, pp. 815–821 (2012)Google Scholar
  9. 9.
    Verma, N.K., Sevakula, R.K., Dixit, S., Salour, A.: Ranking of sensitive positions based on statistical parameters and cross correlation analysis. Int. J. Smart Sens. Intell. Syst. 6(4), 1745–1762 (2013)Google Scholar
  10. 10.
    Verma, N.K. Singh, N.K., Sevakula, R.K., Salour, A.: Ranking of sensitive positions using empirical mode decomposition and Hilbert transform. In: Proceedings of the 7th IEEE Conference on Industrial Electronics and Applications, Hangzhou, China, pp. 1926–1931 (2014)Google Scholar
  11. 11.
    Li, R., He, D.: Rotational health machine monitoring and fault detection using EMD-based acoustic emission feature quantification. IEEE Trans. Instrum. Meas. 61(4), 990–1001 (2012)CrossRefGoogle Scholar
  12. 12.
    Hai, H., Pan, J.: Speech pitch determination based on Hilbert-Huang transform. Int. J. Signal. Process. 86(4), 792–803 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electrical Engineering and Inter-disciplinary Program in Cognitive ScienceIndian Institute of Technology KanpurKanpurIndia
  2. 2.Boeing Research and TechnologySaint LouisUSA

Personalised recommendations