Intelligent fault diagnosis has attracted intensive efforts in machine predictive maintenance.
However, the structural information from multi-sensor signals has not been fully investigated …

Abstract Electro-Hydrostatic Actuator (EHA) is a critical electro-hydraulic actuator system
widely used in aerospace equipment. To ensure its normal operation, the intelligent fault …

Data-driven fault diagnosis approaches have attracted considerable attention in the past few
years, and promising diagnostic performance has been achieved with sufficient monitoring …

Intelligent fault diagnosis is an intriguing topic, attracting increasing interest in safe and
reliable industrial production. Tremendous progress has been made in recent years in …

Purpose To maintain machinery operations smoothly, Rolling-Element Bearings (REBs) are
utilized so that the entire equipment's safety is ensured. Sometimes, the safety of the …

Accurate remaining useful life (RUL) prediction of rolling bearings plays a vital role in
ensuring the safe operation of mechanical equipment. Graph-based models have become …

The development of low-speed fault diagnosis methods especially in offshore wind turbines
is considered of utmost importance for mainly solving two challenges. These include …

As a pivotal component in robotic systems, harmonic reducer fault diagnosis plays a crucial
role in safe and stable operation; however, the lack of labelled fault samples hampers its …

Abstract Machine fault detection is a crucial task in prognostics health management (PHM),
while most of the data-driven methods lack model interpretability and transparency. Aiming …

This paper proposes a novel method namely WaveletKernelNet-Convolutional Block
Attention Module-BiLSTM for intelligent fault diagnosis of drilling pumps. Initially, the random …