Gas monitoring detectors healthiness validation tool utilizing anomaly detection technique

Abstract

A gas monitoring detector healthfulness tracking system including an analyzer operable to apply an artificial intelligence (AI) model to determine a characteristic response trend signature from received preventative maintenance (PM) data and maintenance tracking data, an anomaly detector operable to detect an anomalous field response characteristic of a gas monitoring detector from received PM field data, the anomalous field response characteristic representing a variance from the characteristic response trend signature, a recommender providing a recommendation to 1) replace the gas monitoring detector if the variance exceeds a predetermined value, 2) re-test the gas monitoring detector if the variance does not match and does not exceed the predetermined value, and a report generator for reporting the recommendation of the recommender.

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