Electronic equipment health monitoring and early warning system and electronic equipment health monitoring and early warning method

Abstract

The invention relates to an electronic equipment health monitoring and early warning system and an electronic equipment health monitoring and early warning method. The physical parameters of a host electronic system circuit board of electronic equipment are monitored by a sensor, and sensor data is acquired and sent to an embedded control device, wherein the sensor data includes at least one of current data, vibration data, temperature data and voltage data. The embedded control device extracts the features of the sensor data to get feature data, makes real-time analysis and prediction according to the feature data, gets and displays a prediction result, and provides real-time health monitoring and real-time prediction information of the host electronic system circuit board for users. The performance degradation process of electronic equipment can be monitored in real time, the performance degradation trend of electronic equipment can be predicted, and failure prediction and health management functions of electronic equipment are achieved.

Description

technical field [0001] The invention relates to the technical field of failure prediction, in particular to an electronic equipment health monitoring and early warning system and method. Background technique [0002] Fault prediction and health management (Prognostics and Health Management, PHM) technology uses as few sensors as possible to collect various data information of the system, uses intelligent reasoning algorithms to evaluate the health status of the system itself, predicts the failure of the system before it occurs, and Provide maintenance support measures based on available resource information to achieve system condition-based maintenance. The PHM system can realize the transition from traditional sensor-based diagnosis to intelligent system prediction, which greatly promotes the process of condition-based maintenance replacing post-event maintenance and preventive maintenance. The PHM system can timely and accurately determine its current status and the possi...

AI Technical Summary

Problems solved by technology

The traditional failure warning method requires parameter input and data collection on the pins of the integrated circuit, which is only suitable for the failure warning of CMOS integrated circuits, and cannot predict the failure of electronic equipment.

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