-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of … Findings: DL based PdM methods have been mainly introduced and implemented for IM fault diagnosis in recent years. Novel DL FD …

-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of … Findings: DL based PdM methods have been mainly introduced and implemented for IM fault diagnosis in recent years. Novel DL FD …

their tasks may cause the task to be interrupted or failed completely. In the active fault tolerant control methods, it is … very important not only to detect the faults that occur in the robot, but also to isolate these faults to develop a fault … recovery strategy that is suitable for that specific type of fault. This study aims to develop a model-based fault detection …

some instances, fatalities. This study introduces an intelligent gear fault diagnosis system employing a convolutional …

). Due to the diversity of machinery and the diverse behaviour of each machine in different fault conditions, the most … challenging task in predictive maintenance is to detect the fault, diagnose the type of fault, and explain why a particular fault … reveal a remarkable multi-fault detection accuracy and multiple fault type classification, with the highest accuracy of 100 …

Fault detection and identification are critical for the accurate maintenance and management of industrial machinery. In … this regard, data-driven condition monitoring models play an important role in machinery fault diagnosis and management … fault states. The experimental results from the testing data set show that the decision trees achieved 93.8% accuracy …

different variants of fault trees as part of fuzzy data-driven reliability analysis studies. In such fuzzy fault tree analyses … of fuzzy data-based temporal fault tree analysis to investigate the effect of choosing different membership functions on …

those related to at-fault third-party liability accidents, and all types of claims including assistance on the road. A …

consequences on safety and quality due to malfunction. Therefore, early fault diagnosis of the gearbox before the fatal breakdown … neural network (1D-DCNN) to learn features directly from the vibrational signals and identify the gear fault under different …