() Mathematical morphology. () Spectral analysis for identification of frequency components related to the fault using FFT. () Amplitude analysis from estimated spectrum for statistical feature extraction. () Fault diagnosis classification through a decision tree.
() Spectral analysis using discrete wavelet transform and Hilbert transform to obtain the envelope of the signal. () Fault diagnosis classification through measured features (Eigenvector changes).
() Signal decomposition by means of empirical mode decomposition method. () Standard deviation of zero crossings and the time between successive zero crossings of the decompositions for fault diagnosis classification.
Transient
Steady
98.2
98.2
99.7
98.2
98.2
98.5
—
—
Proposal
() Shannon entropy for statistical feature extraction. () Fault diagnosis classification through -means method.
Transient Steady
100 100
95 100
100 100
1002 1002
HLT: healthy condition; HBRB: half broken rotor bar; 1BRB: one broken rotor bar; MBRB: multiple broken rotor bars, where 2 means two broken bars, 3 means three broken bars, and 5 means five broken bars.