… learn discriminant fault features from … fault diagnosis networks and designs attention module
by fully considering characteristics of rolling bearing faults to enhance fault-related features …

… or are unsuitable for more severe faults, thus affecting the fault detection and classification
… proposes a discriminant feature extraction method for Centrifugal Pump (CP) fault diagnosis. …

… This study aims at developing a diagnostic system based on the current feature generated
… features are evaluated by means of the linear discriminant analysis and the fault diagnosis is …

… Normally, bearing fault diagnosis methods are based on time domain analysis [12]–[14], …
, a set of features was constructed from vibration signals. In that way, bearing fault diagnosis is …

… Tang, “Weak fault diagnosis of rotating machinery based on feature reduction with supervised
orthogonal local Fisher discriminant analysis,” Neurocomputing, vol. 168, pp. 505–519, …

… Data visualization is an active research field in computer science and is a desirable feature
for process engineers to perform fault diagnosis. Although the data are high dimensional, it is …

… for reliable fault diagnosis in induction motors. This paper proposes a hybrid feature
selection model with a novel discriminant feature distribution analysis-based feature evaluation …

… discriminant autoencoder may not meet the requirement of fault diagnosis in complex
processes. Thus, we also try to stack several discriminant autoencoders to construct a stacked …

… Therefore, the hybrid strategy combined with the feature-recognition model proposed in
this paper has the best performance in fault diagnosis. In addition, we find that the deviation …

… low dimensional discriminant feature space for CP mechanical faults diagnosis using PLDA
… fault diagnosis strategy that ensures the comparability of the achieved results with other …