Novel detection of local tooth damage in gears by the wavelet bicoherence

摘要: Abstract A new technique, the instantaneous wavelet bicoherence (WB) is proposed and investigated. The use of locally averaged WB from vibration measurements for local damage detection in gears investigated first time; these bicoherences are better adapted than classical Fourier to case non-stationary signals. diagnostic feature based on integrated modulus a specific frequency range methodology estimation proposed. techniques applied multiple “like natural” pitting back-to-back industrial spur gearbox system natural gear at test rig show possibility early tooth faults. effectiveness evaluated by Fisher criterion estimated each angular position unpitted pitted cases. WB-based demonstrates robust experimental performance superior capabilities (i.e., effective differentially teeth wheel) over conventional methods transform. reason this that exploits phase couplings transform different frequencies, which contain useful additional information non-linear phenomena induced approaches compared with two