Visualization-Based Anomaly Detection for Predictive Maintenance

A method for use by a system including a hardware processor and a memory storing a software code and a trained machine learning (ML) model, the method comprising:

• receiving, by the software code executed by the hardware processor, data describing an operation by an apparatus;
• generating, by the software code executed by the hardware processor and using the data, a first visual representation of the operation;
• predicting, by the software code executed by the hardware processor and using the trained ML model and the first visual representation of the operation, whether an operating state of the apparatus during the operation is anomalous;
• obtaining, by the software code executed by the hardware processor when predicting identifies an anomalous operating state by the apparatus, a second visual representation of an expected operation by the apparatus during a normal operating state of the apparatus;
• performing, by the software code executed by the hardware processor, a comparison of the first visual representation with the second visual representation;
• and
• outputting, by the software code executed by the hardware processor, an alert including a result of the comparison of the first visual representation with the second visual representation.

A computer-readable non-transitory medium having stored thereon instructions and a trained machine learning (ML) model, which when executed by a hardware processor, instantiate a method comprising:

• receiving data describing an operation by an apparatus;
• generating, using the data, a first visual representation of the operation;
• predicting, using the trained ML model and the first visual representation of the operation, whether an operating state of the apparatus during the operation is anomalous;
• obtaining, when predicting identifies an anomalous operating state by the apparatus, a second visual representation of an expected operation by the apparatus during a normal operating state of the apparatus;
• performing a comparison of the first visual representation with the second visual representation;
• and
• outputting an alert including the comparison of the first visual representation with the second visual representation.