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Fault Diagnosis System for Air Compressor Using Palmtop

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Intelligent Condition Based Monitoring

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 256))

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Abstract

This chapter provides details of health monitoring of the air compressor using Palmtop. Until now, it has been observed that the data acquisition and fault recognition systems both are separately handled. To reduce the complexity and combine both processes into one system, Palmtop is used. The aim of this chapter is to develop a quick fault diagnosis system for identifying and detecting the position and type of faults in the air compressor  using Palmtop. The quick fault diagnosis system developed using Palmtop can be termed as an extension of the work done in Chap. 6.

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References

  1. Verma, N.K., Jagannatham, K., Bahirat, A., Shukla, T.: Finding sensitive sensor positions under faulty condition of reciprocating air compressors. In: Proceedings of the International Conference on IEEE Recent Advances in Intelligent Computational Systems, Trivandrum, India, pp. 242–246 (2011)

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  2. Verma, N.K., Sevakula, R.K., Dixit, S., Salour, A.: Intelligent condition based monitoring using acoustic signals for air compressors. IEEE Trans. Reliab. 65(1), 291–309 (2016)

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Correspondence to Nishchal K. Verma .

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Verma, N.K., Salour, A. (2020). Fault Diagnosis System for Air Compressor Using Palmtop. 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_7

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  • DOI: https://doi.org/10.1007/978-981-15-0512-6_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0511-9

  • Online ISBN: 978-981-15-0512-6

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