system

Abstract

We provide the system. [Solution] A means of collecting operational data acquired from sensors in real time, means for applying an algorithm that detects anomalies based on the aforementioned operational data, A means of learning past failure history and constructing a model for predicting the operation of equipment, Means for generating an optimal maintenance schedule based on the aforementioned predictive model, A means for displaying the aforementioned schedule and recommendations on a technician's terminal, A means of updating the model based on the feedback received on the aforementioned recommendations, A system that includes this.

Claims

1. A means of collecting operational data acquired from sensors in real time, means for applying an algorithm that detects anomalies based on the aforementioned operational data, A means of learning past failure history and constructing a model for predicting the operation of equipment, Means for generating an optimal maintenance schedule based on the aforementioned predictive model, A means for displaying the aforementioned schedule and recommendations on a technician's terminal, A means of updating the model based on the feedback received on the aforementioned recommendations, A system that includes this.

2. The system according to claim 1, comprising means for automatically generating a report of the generated maintenance schedule and recommendations using natural language generation technology.

3. The system according to claim 1, further comprising a function to configure the anomaly detection algorithm and prediction model to be adaptable to different operating environments.

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