... diagnosis Feature extraction Sparrow search algorithm Probabilistic neural network In recent years, the condition monitoring and fault diagnosis of rotating machinery has been widely discussed by many scholars (Cui et al., 2019 ; Wang et al., 2023). As a crucial component...

... and operational efficiency through wear image analysis. Design/methodology/approach Using a data set of scanning electron microscopy images from an internal combustion engine, the authors used AlexNet as the feature extraction algorithm and the J48 decision tree algorithm for feature selection and compared 15...

... and results obtained from vibration behavior of gears. In the mentioned fuzzy model, a feature extracted from wavelet transform and also a couple of statistical indexes are used as fault criteria. Findings Using fuzzy systems instead of numerous data in training the decision‐making system and also...