Fault Identification of Vibration-Based Condition Monitoring of Motor Using Minitab and Matlab: A Case Study on Francis Turbine
Authors:-Vishwas I, Bhagyaraj KS, Samiullah R, Ashok C, Professor Dr. Yadavalli Basavaraj, Professor Dr. V. Venkata Ramana, Assistant Professor Dr. Pavan Kumar.B. K
Abstract-This paper discusses the identification of faults in a Francis turbine using vibration-based condition monitoring with Minitab and MATLAB. The vibration signals are analyzed to detect faults in the motor components of the turbine. Statistical analysis uses Minitab to identify trends, while MATLAB carries out advanced signal processing, including Fast Fourier Transform (FFT) and wavelet analysis, to extract fault features. The combined approach effectively diagnoses issues like misalignment and bearing defects, showing its value in predictive maintenance for improved turbine performance.
