An integrated qualitative-quantitative hypothesis driven approach for comprehensive fault diagnosis
An integrated qualitative-quantitative hypothesis driven approach for comprehensive fault diagnosis
复制标题
DOI：
10.1205/cherd07016
复制
发表时间：
2007
影响因子：
3.9
通讯作者：
P. Vachhani;S. Narasimhan;R. Rengaswamy
中科院分区：
文献类型：
--
作者：
P. Vachhani;S. Narasimhan;R. Rengaswamy
摘要 故障会导致生产力损失，在极少数情况下还会导致人员伤亡。因此，故障诊断是提高可靠性和安全性的关键任务。文献中已经提出了多种用于故障诊断的技术。综合诊断问题涉及传感器故障和控制器或执行器故障时的参数变化。在本文中，我们描述了一个将定性模型与定量估计相结合的诊断框架，以解决综合诊断问题。本文提出的综合诊断框架可以分为四个模块进行研究。第一个模块也称为诊断模块，使用定性技术来生成所有可能根本原因的假设集。在本文中，我们研究了一种基于有向图的定性模型，用于生成假设。第二个模块称为假设生成器，它智能地构建和重新排序候选假设集。第三个模块是非线性估计模块，估计候选假设中的相关参数。第四个模块对估计结果进行统计测试，以验证或无效假设。所提出框架的有效性在模拟示例中得到了证明。
Abstract Faults lead to loss of productivity and in rare cases, loss of human lives. Therefore fault diagnosis is a critical task for increased reliability and safety. There are a variety of techniques that have been proposed in the literature for fault diagnosis. A comprehensive diagnostic problem is one which involves parametric changes in the presence of sensor failures and controller or actuator malfunction. In this paper we describe a diagnostic framework that integrates qualitative models with quantitative estimation to address the comprehensive diagnostic problem. The comprehensive diagnostic framework presented in this paper can be studied as four modules. The first module, also referred to as the diagnostic module, uses qualitative techniques to generate a hypotheses set of all possible root causes. In this paper we study a signed directed graph based qualitative model for the generation of hypotheses. The second module, called the hypothesis generator intelligently constructs and reorders the candidate hypothesis sets. The third module is the nonlinear estimation module, which estimates the relevant parameters in the candidate hypothesis. The fourth module performs statistical testing of the estimation results to either validate or invalidate the hypothesis. The efficacy of the proposed framework is demonstrated on simulation examples.