Fault diagnosis and condition surveillance of rotating machinery in a plant is very important
for guaranteeing production efficiency and plant safety. In a large plant, with an enormous …

In order to identify the faults of rotating machinery, classification process can be divided into
two stages: one is the signal preprocessing and the feature extraction; the other is the …

This article presents an intelligent and accurate framework for fault diagnosis of induction
motors using light gradient boosting machine (LightGBM). The proposed framework offers …

Centrifugal pumps are the most vital part of any process industry. A fault in centrifugal pump
can affect imperative industrial processes. To ensure reliable operation of the centrifugal …

Intelligent fault diagnosis methods based on deep learning becomes a research hotspot in
the fault diagnosis field. Automatically and accurately identifying the incipient micro-fault of …

This paper proposed a novel fault recognition method for rotating machinery on the basis of
multi-sensor data fusion and bottleneck layer optimized convolutional neural network (MB …

The health state of rotating machinery directly affects the overall performance of the
mechanical system. The monitoring of the operation condition is very important to reduce the …

Fault diagnosis of rotating machinery serves an important role in informing system operation
and predictive maintenance decisions. To quantify the fault information from vibrational …

To achieve better fault diagnosis of rotating machinery, this paper presents a novel
intelligent fault diagnosis model based on singular value manifold features (SVMF) …

Roller bearing failure is one of the most common faults in rotating machines. Various
techniques for bearing fault diagnosis based on faults feature extraction have been …