Abstract
Intelligent condition based monitoring for early recognition of faults saves the industry from heavy losses occurring due to breakdowns. It is essential to prevent the machine breakdown as it may have a significant impact on production capacity and safety. Recognition of faults is necessary to overcome any further damage in the machine, and also to maintain a healthy production environment. Among preventive maintenance, break-down maintenance, and condition-based maintenance strategies, conditon-based maintenance has been found to be the most cost effective. The process of fault diagnosis for intelligent condition based monitoring includes data acquisition, sensitive position analysis for deciding suitable sensor locations, signal pre-processing, feature extraction, feature selection, and classification. This chapter introduces the fault diagnosis system and its basic building blocks.
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Verma, N.K., Salour, A. (2020). Introduction. 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_1
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DOI: https://doi.org/10.1007/978-981-15-0512-6_1
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