A flight simulator motor degradation monitoring and early warning method and system, electronic equipment and storage medium

By establishing a health baseline map and comparing real-time data, the degradation status of the flight simulator motors is dynamically monitored, solving the problem that existing technologies cannot continuously quantify and identify position-related degradation. This enables precise monitoring and predictive maintenance, and optimizes maintenance plans.

CN121978526BActive Publication Date: 2026-06-09ZHUHAI XIANG YI AVIATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHUHAI XIANG YI AVIATION TECH CO LTD
Filing Date
2026-04-07
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies cannot achieve continuous quantitative monitoring of motor performance degradation in flight simulators, cannot identify position-related degradation, lack objective quantitative methods, and static fixed thresholds lead to false alarms and missed alarms. Individual differences cause benchmark failures, and passive monitoring carries the risk of missed detections. Furthermore, there is a lack of collaborative capabilities for life prediction and maintenance planning.

Method used

Establish a health baseline map indexed by travel location range and load level, collect and compare feature parameters in real time, calculate the zonal degradation index and abnormal noise quantification index, dynamically determine adaptive thresholds, generate health detection reports through active excitation detection sequences, and implement graded early warning based on multiple indicators.

Benefits of technology

It enables continuous quantitative monitoring of motor performance degradation, accurately identifies position-related degradation, eliminates false alarms and missed alarms, provides objective quantitative data to support fault confirmation, predicts remaining usable life, optimizes maintenance plans, and reduces the risk of missed detections.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of computers and discloses a flight simulator motor degradation monitoring and early warning method and system, an electronic device and a storage medium, which comprise establishing a health baseline atlas and storing reference data under a motor health state; in the running process of the simulator, characteristic parameters are extracted, compared with the health baseline atlas, and a partition degradation index of each stroke partition is calculated; vibration signals and acoustic signals are collected, a sound anomaly quantization index is calculated and generated; under the same motion instruction, the characteristic parameters are synchronously collected, a transverse difference rate is calculated, an adaptive threshold is dynamically determined, a load intensity is determined according to a partition degradation index history record, a degradation integral is calculated and updated based on the load intensity and a duration, and a remaining available life is predicted; an active excitation detection sequence is injected at a preset trigger opportunity, data is collected to generate a health detection report, grading early warning logic is executed by comprehensively considering various indexes, and early warning information is output. The application can improve the operation reliability of a flight simulator motion system.
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