利用小波变换和 EPSA 对锥形冗余 IMU 进行双重故障检测。

Double fault detection of cone-shaped redundant IMUs using wavelet transformation and EPSA.

机构信息

Department of Mechanical and Aerospace Engineering, ASRI, Seoul National University, Seoul 151-741, Korea.

Department of Mechanical and Aerospace Engineering, Institute of Advanced Aerospace Technology, Seoul National University, Seoul 151-741, Korea.

出版信息

Sensors (Basel). 2014 Feb 19;14(2):3428-44. doi: 10.3390/s140203428.

DOI:10.3390/s140203428

PMID:24556675

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3958265/

Abstract

A model-free hybrid fault diagnosis technique is proposed to improve the performance of single and double fault detection and isolation. This is a model-free hybrid method which combines the extended parity space approach (EPSA) with a multi-resolution signal decomposition by using a discrete wavelet transform (DWT). Conventional EPSA can detect and isolate single and double faults. The performance of fault detection and isolation is influenced by the relative size of noise and fault. In this paper; the DWT helps to cancel the high frequency sensor noise. The proposed technique can improve low fault detection and isolation probability by utilizing the EPSA with DWT. To verify the effectiveness of the proposed fault detection method Monte Carlo numerical simulations are performed for a redundant inertial measurement unit (RIMU).

摘要

提出了一种无模型混合故障诊断技术，以提高单故障和双故障检测与隔离的性能。这是一种无模型混合方法，它将扩展奇偶空间方法（EPSA）与多分辨率信号分解相结合，使用离散小波变换（DWT）。传统的 EPSA 可以检测和隔离单故障和双故障。故障检测和隔离的性能受噪声和故障的相对大小的影响。在本文中，DWT 有助于消除高频传感器噪声。所提出的技术可以利用具有 DWT 的 EPSA 提高低故障检测和隔离概率。为了验证所提出的故障检测方法的有效性，对冗余惯性测量单元（RIMU）进行了蒙特卡罗数值模拟。