System and method for unsupervised anomaly detection on industrial time-series data

A method to evaluate machinery failures, the method comprising:

• receiving time-series data associated with a piece of machinery;
• automatically determining an anomaly associated with the piece of machinery by comparing the received time-series data with a model associated with the piece of machinery;
• automatically determining that the anomaly is not a known fault based on performing a lookup of known failure modes;
• and
• transmitting an alert associated with an unknown failure mode.

A non-transitory computer-readable medium comprising instructions that, when executed by the processor, perform a method, the method comprising:

• receiving time-series data associated with a piece of machinery;
• automatically determining an anomaly associated with the piece of machinery by comparing the received time-series data with a model associated with the piece of machinery;
• automatically determining that the anomaly is not a known fault based on performing a lookup of known failure modes;
• and
• transmitting an alert associated with an unknown failure mode.