As the demand for energy consumption saving and emission reduction become an urgent
need in the contemporary world, the requirements for pumps and turbines need to pay more …

Entropy, as a complexity measure, has been widely applied for time series analysis. One
preeminent example is the design of machine condition monitoring and industrial fault …

A novel fault diagnosis procedure based on improved symplectic geometry mode
decomposition (SGMD) and optimized SVM is presented. In the proposed procedure, a …

Fault diagnosis of wheelset bearings in high-speed trains has attracted constant interest in
the scientific community and industrial field. Under the harsh working condition, eg, time …

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 …

The signal of rotating machinery is usually non-stationary, non-linear, and with noise
interference. The early fault signal is too weak to extract fault features and the accuracy …

Due to the advantages of comfort and safety, high-speed trains are gradually becoming the
mainstream public transport in China. Since the operating speed and mileage of high-speed …

Power quality is the quality of electrical energy in the power system. And the power quality
disturbances (PQDs) in the power system lead to severe consequences for the equipment's …

Symplectic geometric mode decomposition (SGMD) is a newly proposed signal processing
method. Because of its superiority, it has gained more and more attention in the field of fault …

When rolling bearings have a local fault, the real bearing vibration signal related to the local
fault is characterized by the properties of nonlinear and nonstationary. To extract the useful …