Anomaly detection device, anomaly detection method, and computer program

Abstract

Embodiments of the present invention achieve highly accurate anomaly detection. According to one embodiment, an anomaly detection device includes a condition generator, a threshold setter and an anomaly detector. The generator generates a plurality of conditions for classifying a difference between a predicted value of a state of a vehicle and a measured value of the state of the vehicle based ontravel information of the vehicle, the predicted value being based on a control command value and a prediction model. The threshold setter sets a plurality of thresholds for the conditions. The anomaly detector performs anomaly detection on the vehicle based on the prediction model, the thresholds, and the conditions.

Description

technical field [0001] Embodiments of the present invention relate to an anomaly detection device, an anomaly detection method, and a computer program. Background technique [0002] Maintenance management and inspections of railway vehicles need to be performed on a daily basis to maintain the safety and reliability of railway operations. Traditional maintenance management has focused on periodic inspections of railway vehicles. However, in order to achieve higher railway safety, a technique for early anomaly detection by performing diagnosis and condition monitoring using vehicle information including sensor values ​​and control values ​​acquired from railway vehicles has recently been developed. [0003] In the prior art, anomaly detection is performed by comparing values ​​measured by sensors on rail vehicles with thresholds. In another prior art, a model reconstructing the normal operation of a railway vehicle is prepared and used to detect anomalies or signs of anomal...

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Problems solved by technology

Therefore, it is difficult to accurately perform anomaly detection on such vehicles based on a single threshold

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