Detecting faults in heterogeneous and dynamic systems using DSP and an agent-based architecture

Zaki, Osama; Brown, Keith; Fletcher, John; Lane, David M.

doi:10.1016/j.engappai.2007.02.012

Cited by 9 publications

(2 citation statements)

References 15 publications

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“…Research into diagnostics has been one of the main challenges in autonomous systems and AI for decades. Several approaches have been proposed in the literature and are evaluated in this review for fault detection, methods such as: FTA (fault-tree analysis), FMEA (failure mode effect analysis) and its variants, model-based reasoning, qualitative reasoning, and assumption-based truth maintenance [22]. Commercial tools have been developed to implement these traditional techniques, commonly referred to as DX (diagnosis).…”

Section: Review Of Approaches Of Diagnostics and Prognostics In Enginmentioning

confidence: 99%

Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification

et al. 2021

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A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presented. A model for the autonomous system being diagnosed is designed using a logic-based formalism. The model supports the run-time ability to verify that the autonomous system is safe and reliable for operation within a dynamic environment. The paradigm is based on the philosophy that there are different types of semantic relationships between the states of different parts of the system. A finite state automaton is devised for each sensed component and some of the non-sensed components. To capture the interdependencies of components within such a complex robotic platform, automatons were related to each other by semantic relationships. Modality was utilised by the formalism to abstract the relationships and to add measures for the possibility and uncertainty of the relationships. The complexity of the model was analysed to evaluate its scalability and applicability to other systems. The results demonstrate that the complexity is not linear and a computational time of 10 ms was required to achieve run-time diagnostics for 2200 KB of knowledge for complex system interdependences. The ability to detect and mitigate hardware related failures was demonstrated within a confined space autonomous operation. Our findings provide evidence of the applicability of our approach for the significant challenge of run-time safety compliance and reliability in autonomous systems.

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Section: Review Of Approaches Of Diagnostics and Prognostics In Enginmentioning

confidence: 99%

Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification

et al. 2021

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“…Systems equipped with fault diagnosis schemes reduces repairing time so that recovering can be done at earliest. Osama et al [1] have classified electronic system faults in three different levels viz. system level, board level and component level.…”

Section: Introductionmentioning

confidence: 99%

A model based approach for fault diagnosis in converter of photovoltaic systems

Chavan

Chavan²

2014

2014 IEEE Global Conference on Wireless Computing &Amp; Networking (GCWCN)

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This paper presents model based approach for diagnosis of open circuit power switch faults in full bridge DC-DC converter of a photovoltaic system. The control circuitry of the proposed converter monitors and regulates output current, whenever output current lowers, controller monitors current at test points and localizes faulty switch by comparing fault features. This minimizes efforts required for manual diagnosis of faulty switch. The faults will be detected and diagnosed automatically and displayed on LCD display. In this a model of DC-DC converter is prepared and simulated in SimPowerSystems toolset of MATLAB/Simulink and obtained results are presented.

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Multi-BP expert system for fault diagnosis of powersystem

Liang

Zhao

et al. 2013

Engineering Applications of Artificial Intelligence

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Detecting faults in heterogeneous and dynamic systems using DSP and an agent-based architecture

Cited by 9 publications

References 15 publications

Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification

Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification

A model based approach for fault diagnosis in converter of photovoltaic systems

Multi-BP expert system for fault diagnosis of powersystem

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