OIL DEBRIS MONITOR TO DETECT MECHANICAL FAILURES IN HIGH NOISE ENVIRONMENTS

    公开(公告)号:US20220155257A1

    公开(公告)日:2022-05-19

    申请号:US17666009

    申请日:2022-02-07

    Abstract: A method to effectively utilize an oil debris monitor to provide advanced warning to mechanical system failures in a high noise system by adapting detection and annunciation algorithms to the background noise in a system that includes collecting I and Q channel data from a sensor; processing the I and Q channel data to both calculate a noise based (RMS adjusted) detection threshold and to identify a ferrous and nonferrous signal; processing the ferrous and nonferrous signals to determine signal peaks above the RMS adjusted detection threshold; adjusting a detection threshold if more signal peaks observed than allowable particles in a given time window; transmitting the detection threshold previously determined to particle detection, rate limit adjustment, detectability algorithms, and estimated mass loss accumulation.

    METHOD AND APPARATUS FOR FAULT DETECTION IN A GAS TURBINE ENGINE AND AN ENGINE HEALTH MONITORING SYSTEM

    公开(公告)号:US20230349300A1

    公开(公告)日:2023-11-02

    申请号:US17733396

    申请日:2022-04-29

    Abstract: A method for fault identification for a gas turbine engine includes receiving sensor data from at least one health monitoring sensor of a health monitoring system for a gas turbine engine; utilizing a pre-filter to filter the sensor data and obtain filtered data based on a plurality of signatures of fault conditions of the health monitoring system and the gas turbine engine; utilizing at least one transfer function to extract features from the filtered sensor data based on the plurality of signatures; utilizing a machine learning technique to analyze the extracted features, and determine whether any of the extracted features are indicative of a fault condition in the health monitoring system or the gas turbine engine; and based on the analysis indicating the presence of a fault condition, providing a fault detection notification. A health monitoring system for a gas turbine engine is also disclosed.

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