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RISPerformance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper compares and evaluates the performance of two major feature selection and fault identification methods utilized for the condition monitoring (CM) of centrifugal equipment, namely fast Fourier transform (FFT)-based ...
Real-Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The expansion of renewable power plants has transformed the role and operation of gas turbines to a great extent. From the base load operation era, we are moving into a flexible and dynamic engine operation of gas turbines. ...