Transmissions are core components of automobiles in adjusting the speed. The time-varying
operation conditions, particularly the frequent gear shifting, present significant challenges for …

Abstract Detrended Fluctuation Analysis (DFA) is a robust tool for uncovering long-range
correlations hidden in the non-stationary data. Recently, crossover properties of the scaling …

Due to the harsh operating condition and persistent heavy load, planetary gearboxes as the
key transmission parts are prone to damage. With lower cost and better accessibility, the …

In a high-noise environment and with a limited number of faulty samples, it becomes
challenging to extract a sufficient amount of useful fault information, which makes gear fault …

Vibration signal analysis is crucial for gearbox fault diagnosis, yet its inherent stochastic
nature can challenge the identification of fault-induced changes amidst signal variability …

A gearbox plays a key role in rotating machines, and its fault diagnosis is of great
significance to reduce maintenance costs, unnecessary casualties and property losses …

Gears are used for the transfer of mechanical power and are an important part of the
electromechanical transmission system. Unexpected failure of gear could cause shutdown …

Convenient and fast fault diagnosis is the key to improving the service safety and
maintenance efficiency of gearboxes. However, the environment and working conditions …

As the fault detection methods diagnose defects in the earlier stage, the subsequent costs
will be reduced. Feature extraction from the vibration signal is the foremost step for incipient …

This study combines signal de-noising, feature extraction, two pairwise-coupled relevance
vector machines (PCRVMs) and particle swarm optimization (PSO) for parameter …