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Evaluating the Performance of Signal Processing Techniques to Diagnose Fault in a Reciprocating Compressor Under Varying Speed Conditions

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Book cover Machine Intelligence and Signal Analysis

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 748))

Abstract

An inefficient detection of a fault in a reciprocating compressor (RC) by a signal processing technique could lead to high energy losses. To achieve a high-pressure ratio, RCs are used in such pressure-based applications. This paper evaluates the performance of nonstationary signal processing techniques employed for monitoring the health of an RC, based on its vibration signal. Acquired vibration signals have been decomposed using empirical mode decomposition (EMD) and variational mode decomposition (VMD) and compared respectively. Afterward, few condition indicators (CIs) have been evaluated from decomposed modes of vibration signals. Perspectives of this work are therefore detailed at the end of this paper.

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Authors and Affiliations

  1. Discipline of Mechanical Engineering, Indian Institute of Technology Indore, Indore, India

    Vikas Sharma & Anand Parey

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  1. Vikas Sharma
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  2. Anand Parey
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Correspondence to Vikas Sharma .

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Editors and Affiliations

  1. Discipline of Mathematics, Indian Institute of Technology Indore, Simrol, Madhya Pradesh, India

    M. Tanveer

  2. Discipline of Electrical Engineering, Indian Institute of Technology Indore, Simrol, Madhya Pradesh, India

    Ram Bilas Pachori

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Sharma, V., Parey, A. (2019). Evaluating the Performance of Signal Processing Techniques to Diagnose Fault in a Reciprocating Compressor Under Varying Speed Conditions. In: Tanveer, M., Pachori, R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore. https://doi.org/10.1007/978-981-13-0923-6_15

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