MFCC and CELP to detect turbine engine faults
    8.
    发明授权
    MFCC and CELP to detect turbine engine faults 有权
    MFCC和CELP来检测涡轮发动机故障

    公开(公告)号:US08655571B2

    公开(公告)日:2014-02-18

    申请号:US13167519

    申请日:2011-06-23

    IPC分类号: G01M15/00 G06F19/00

    摘要: A fault detection and diagnosis method for a gas turbine engines comprises collecting a sensor signal from an acoustic or vibrational sensor at the gas turbine engine, pre-processing the sensor signal to remove predictable background, and extracting a feature set from the sensor signal using Mel-Frequency Cepstral Coefficients (MFCC) algorithms and/or Code Excited Linear Prediction (CELP) algorithms. Fault and non-fault states are reported based on comparison between the feature set and a library of fault and non-fault feature profiles corresponding to fault and non-fault states of the gas turbine engine.

    摘要翻译: 用于燃气涡轮发动机的故障检测和诊断方法包括从燃气涡轮发动机处的声学或振动传感器收集传感器信号,预处理传感器信号以消除可预测的背景,以及使用梅尔从传感器信号中提取特征集 - 频率倒谱系数(MFCC)算法和/或码激励线性预测(CELP)算法。 基于特征集与对应于燃气涡轮发动机的故障和非故障状态的故障和非故障特征曲线库的比较来报告故障和非故障状态。

    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

    IPC分类号: F01D21/00

    摘要: 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.