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@article{169062,
        author = {Dinesh Chawde and Priyanka Patil and Yash Mhatre},
        title = {Experimental Investigation of Fault Simulation in Rotating Machinery},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2147-2154},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169062},
        abstract = {Fault diagnosis is extremely important because it helps to identify and fix problems in machines or systems quickly. This paper investigates an experimental fault diagnosis in rotating machinery using the Tiera Machinery Fault Simulator. Four common faults in rotating machinery i.e. rotating unbalance, misalignment, faulty bearings, and bent shafts are studied here. Our approach involves analyzing vibration signals in both the time and frequency domains. To simulate real-world conditions, the experimental setup and procedures were meticulously designed. The time domain data obtained from the fault simulator is processed in MATLAB® to obtain the frequency domain spectrum using the Fast Fourier Transform (FFT). To capture fundamental frequencies from the frequency domain data, the initial dominant frequency peak readings are recorded. Significant shifts in the amplitude vs. time/frequency domain data are observed for various faults as compared to an intact system without fault. The presented findings from various fault simulation studies can be very useful for predictive maintenance, safety issues, reliability, and vibration monitoring of rotating machinery.},
        keywords = {Fault diagnosis, Machinery fault simulator, Vibration monitoring},
        month = {November},
        }