Building materials machinery equipment play an important role in the production of cement,
brick and tile, glass and other building materials, which are high energy consumption …

Variational mode decomposition has been widely applied to machinery fault diagnosis
during these years. However, it remains difficult to set proper hyperparameters for the …

Compound fault diagnosis with stochastic interfering impulses remains to be a tricky task
due to the difficulty of determining multiple resonant frequency bands. Variational mode …

Optimal wavelet filter is a commonly used and effective tool for bearing fault diagnosis. To
locate the informative frequency band for extracting fault-induced repetitive transients, the …

Spectral coherence (SCoh) consists of spectral and cyclic frequencies and exhibits unique
merits in simultaneously revealing the resonance frequency band and the fault characteristic …

For the driving safety of electric vehicle (EV), intelligent diagnosis based on artificial
hydrocarbon networks (AHNs) is proposed to detect mechanical faults of in-wheel motor …

The identification of optimal frequency band (OFB) sensitive to faults is crucial for bearing
fault diagnosis. In this paper, a spectral coherence cyclic periodic index (SCCP) optimization …

Anomaly detection is crucial to the safety of complex electromechanical equipment. With the
rapid accumulation of industrial data, intelligent methods without human intervention have …

Cyclostationary analysis has been strongly recognized as an effective demodulation tool in
identifying fault features of rotating machinery based on vibration signature analysis. This …

High-speed cold tandem rolling process control system consists of complex mechanical and
electrical equipments. The coupling association of these equipments makes multi-objective …