Compressor valve fault detection using vibration cyclostationarity
This paper presents the experimental results obtained from the detection and identification of valve defects in air compressors. To this end, the cyclostationary approach is used after angular resampling of vibration signals collected from the machine. Moreover, the angle-frequency
representation of these signals using the Wigner-Ville transformation allows for the definition of specific monitoring indicators closely related to the cyclic phenomena of the machine. The evolution of these parameters when different valve defects occur shows the effectiveness of the cyclostationary
approach in detecting and identifying the various failure modes of the equipment. Finally, the best locations on the equipment for the vibration sensor are identified and an optimal monitoring system is proposed, allowing for a reduction in the overall cost of the condition monitoring system.
Document Type: Research Article
Publication date: 01 May 2017
- IJCM is a scientific-technical journal containing high-quality innovative in-depth peer-reviewed papers on all the condition monitoring disciplines, including: acoustic emission methods, electric motor insulation and signature analysis, flow rate monitoring, infrared thermography, lubrication management, optical monitoring, pressure monitoring, temperature monitoring, vibration analysis and also on damage and failure analysis, modelling for condition monitoring, prognostics, sensors and actuators.
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