System and method to detect anomaly in mechanical components

A system to detect anomaly in mechanical components based on sound, vibration, and temperature analysis, the system comprising:

• a receiver module to receive sound data, vibration data, and temperature data from the mechanical components in real-time in various operational conditions;
• a synthesizer to generate synthesized sound data from the received sound data based on varying noise environment by performing at least one of:
• pitch changing, temporal stretching, and noise injection;
• a pre-processor to preprocess the received data and the synthesized sound data, to remove background noise and thermal shifting;
• a feature extraction module to extract one or more features from the preprocessed received data and the preprocessed synthesized data;
• an anomaly identification module to identify anomaly in the mechanical components based on the extracted one or more features by employing one or more Machine Learning (ML) models;
• and
• a rendering module to render at least the identified anomaly in the mechanical components to a user.