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- W2287113092 abstract "ABSTRACTStudying vibrational signals is one reliable method for monitoring the situation of rotary machinery. There are various methods for converting vibrational signals into usable information for fault diagnosis, one of which is the empirical mode decomposition method (EMD). This article is about diagnosing bearing faults using the EMD method, employing nondestructive test. Vibration signals are acquired by a bearing test machine. The discrete wavelet bases are used to translate vibration signals of a roller bearing into time-scale representation. Then, an envelope signal can be obtained by envelope spectrum analysis of wavelet coefficients of high scales. Local Hilbert marginal spectrum can be obtained by applying thr EMD method to the envelope signal from which the faults in a roller bearing can be diagnosed and fault patterns can be identified. The results have shown bearing faults frequencies are easily observable. There is a variant of the EMD method called the ensemble EMD (EEMD), which overcomes..." @default.
- W2287113092 created "2016-06-24" @default.
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- W2287113092 date "2015-10-23" @default.
- W2287113092 modified "2023-09-26" @default.
- W2287113092 title "Bearings Fault Diagnosis Using Vibrational Signal Analysis by EMD Method" @default.
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- W2287113092 doi "https://doi.org/10.1080/09349847.2015.1103921" @default.
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