A new bearing fault detection approach based on relevance vector machine (RVM) is presented.
针对轴承故障检测问题，提出一种基于相关向量机(RVM)的故障检测方法。
Then fault detection approach based on this observer was introduced. The design algorithm of the fault observer was summarized.
然后在此基础上介绍了一种故障检测的方法，总结了故障观测器的设计算法。
The reasons of low detection accuracy are analyzed in detail and the improved methods are proposed. A fault detection approach based on frequency distance comparison is presented.
通过对造成电动机断条故障检测准确度不高的各种原因进行深入的分析，针对这些原因提出了具体的改进方法，并提出了一种基于频距比较的故障检测新方法。
The principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system is presented.
提出了空调系统传感器故障检测、故障识别、故障重构的主成分分析方法。
This thesis presents principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system.
本文提出了用主成分分析法(PCA)进行空调系统传感器故障检测与诊断的基本思想。
A new parametric observer-based approach for robust fault detection and isolation in linear time-delay systems with unknown disturbances is proposed.
针对一类具有未知干扰输入的时滞线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A parametric observer-based approach for robust fault detection and isolation in multivariable linear systems with unknown disturbances is proposed.
针对具有未知干扰输入的多变量线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
Abstract: a set membership identification approach is provided to deal with the problem of fault detection of systems with models not precisely known.
文摘：为了处理数学模型不精确已知系统的故障检测问题，给出了一种故障检测的集员辨识方法。
A set membership identification approach is provided to deal with the problem of fault detection of systems with models not precisely known.
为了处理数学模型不精确已知系统的故障检测问题，给出了一种故障检测的集员辨识方法。
In order to detect the main faults well and truly, a new approach of fault detection for gas valves was proposed based on negative selection mechanism of immune system and neural network.
为了能够准确地检测出气阀的主要故障，从免疫系统反面选择机理出发，结合神经网络，提出了基于免疫神经网络的活塞压缩机气阀故障检测的方法。
Fuzzy basis function network (FBFN) based on t s fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present.
给出了基于TS模型的模糊基函数网络(FBFN)，并提出了一种基于FBFN的未知系统故障信息检测通用方法。
Simulations proved that the direct approach possesses better fault detectability than indirect one, but the selection of sample period had obvious affection on effectiveness of direct fault detection.
仿真结果表明，直接故障检测方法比间接故障检测方法具有更强的故障检测能力，但采样周期的不同选择对直接故障检测方法的有效性有直接影响。
This paper presented a new approach for sensor fault detection and isolation in a t s fuzzy system with Gaussian white noises.
提出了一种传感器故障诊断的新方法，适用于高斯白噪声下的TS模糊系统。
A new parametric observer-based approach for robust fault detection and isolation in linear time-delay systems with unknown disturbances is proposed.
针对具有未知干扰输入的多变量线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A parametric observer-based approach for robust fault detection and isolation in multivariable linear systems with unknown disturbances is proposed.
针对一类具有未知干扰输入的时滞线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
The approach is also applied to the rotor bar breaking fault detection for squirrel cage asynchronous motor in this work.
该方法已成功应用于笼型异步电动机转子断条故障的在线监测中。
The approach is also applied to the rotor bar breaking fault detection for squirrel cage asynchronous motor in this work.
该方法已成功应用于笼型异步电动机转子断条故障的在线监测中。
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