Current Signal Analysis for Bearing Faults in Three Phase Induction Motors

ABOUT THE PROJECT

This Project aims to provide a comprehensive examination of fault detection in induction motors through rigorous analysis of stator current signals. Motor fault can be diagnosed by comparing the input current signal characteristics with healthy motor characteristics.The analytical approach encompasses signal processing techniques, notably Impulse Invariant Response (IIR), alongside established methods including Fast Fourier Transform (FFT) and Short-Time Fourier Transform (STFT).Future endeavors aim to expand the analytical scope by investigating supplementary methodologies beyond FFT. This includes the exploration of statistical measures encompassing mean, variance, kurtosis, and spectral analyses. The intention is to fortify the fault detection framework by incorporating multi-dimensional signal assessment techniques, thus augmenting the precision and depth of fault identification in induction motors.

Techniques Used: FFT, IIR FFT, IIR STFT.

ROADMAP

• Data Collection

  ACS712 current sensor was used to obtain motor current readings at 2.8A and 3.3A for both healthy and faulty conditions. PIC16F877A microcontroller was used for ADC and serial communication.

• Data Preprocessing

  The collected data is converted to a csv file and used for further analysis

• Frequency Domain Analysis

  Transform the data into frequency domain by performing FFT of the signal. Analyse the FFT results and try to detect any abnormalities or irregularities in the frequency components.

• IIR Filtering

  Apply IIR Filters to the input current signal and Analyse the filtered FFT results

• IIR STFT Analysis

  Implement Short Time Fourier Transform with IIR filter for the input current signal and analyse the signal variation over Frequency and Time.

• Performance Analysis

  Compute various Performance parameters of the signal such as SNR ratio, Kurtosis, Skewness, Mean and Variance

• Comprehensive Analysis

  Evaluate all the results of Healthy motor readings and the input readings. Compare their outputs and the Performance Analysis results to detect the presence of Fault.

• MOTOR FAULT ANALYSER APP

  A MATLAB app which can be used for analysis of motor fault which only requires a input motor current signal as a csv file.

  Download

OUR TEAM

Nikil S

CB.EN.U4ELC21042

R.S.Subhashree

CB.EN.U4ELC21046

Suneelvijay M

CB.EN.U4ELC21062

Ramsubramania Raja

CB.EN.U4ELC21064