A modular adaptive residual generator for a diagnostic system that detects sensor faults on engine test beds

IF 0.8 Q4 INSTRUMENTS & INSTRUMENTATION Journal of Sensors and Sensor Systems Pub Date : 2022-03-29 DOI:10.5194/jsss-11-99-2022
M. Wohlthan, G. Pirker, A. Wimmer
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引用次数: 1

Abstract

Abstract. It is a great challenge to apply a diagnostic system for sensor fault detection to engine test beds. The main problem is that such test beds involve frequent configuration changes or a change in the entire test engine. Therefore, the diagnostic system must be highly adaptable to different types of test engines. This paper presents a diagnostic method consisting of the following steps: residual generation, fault detection and fault isolation. As adaptability can be achieved with residual generation, the focus is on this step. The modular toolbox-based approach combines physics-based and data-driven modeling concepts and, thus, enables highly flexible application to various types of engine test beds. Adaptability and fault detection quality are validated using measurement data from a single-cylinder research engine and a multicylinder diesel engine.
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一种用于检测发动机试验台传感器故障诊断系统的模块化自适应残差发生器
摘要将传感器故障诊断系统应用于发动机试验台是一个巨大的挑战。主要的问题是,这样的测试平台涉及到频繁的配置更改或整个测试引擎的更改。因此,诊断系统必须对不同类型的测试发动机具有高度的适应性。本文提出了一种由残差产生、故障检测和故障隔离三个步骤组成的故障诊断方法。由于残差生成可以实现自适应性,因此重点放在这一步。基于模块化工具箱的方法结合了基于物理和数据驱动的建模概念,因此可以高度灵活地应用于各种类型的发动机试验台。利用单缸研究发动机和多缸柴油机的测量数据验证了该方法的适应性和故障检测质量。
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来源期刊
Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.30
自引率
10.00%
发文量
26
审稿时长
23 weeks
期刊介绍: Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.
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