Classification of present faults in rotating machinery based on time and frequency domain feature extraction
Anastasija Ignjatovska,
Dejan Shishkovski,
Damjan Pecioski
Abstract:The need for an effective and efficient maintenance process increases with the level of complexity of modern rotating machinery. This paper introduces a methodology for transforming raw vibration signals into adequate inputs for machine learning classification algorithms in order to identify present faults in rotating machinery. It complements a previous study by the same authors, which covers the processing of vibrational signals by determining the optimal sampling frequency and using appropriate filters for … Show more
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