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Faults and Data Acquisition

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Intelligent Condition Based Monitoring

Part of the book series: Studies in Systems, Decision and Control ((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.

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References

  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)

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  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)

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  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)

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  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)

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Inter-disciplinary Program in Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Nishchal K. Verma

  2. Boeing Research and Technology, Saint Louis, MO, USA

    Al Salour

Authors
  1. Nishchal K. Verma
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  2. Al Salour
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Corresponding author

Correspondence to Nishchal K. Verma .

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Verma, N.K., Salour, A. (2020). Faults and Data Acquisition. In: Intelligent Condition Based Monitoring. Studies in Systems, Decision and Control, vol 256. Springer, Singapore. https://doi.org/10.1007/978-981-15-0512-6_2

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  • DOI: https://doi.org/10.1007/978-981-15-0512-6_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0511-9

  • Online ISBN: 978-981-15-0512-6

  • eBook Packages: EngineeringEngineering (R0)

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