A Contracts-Based Framework for Systems Modeling and Embedded Diagnostics

Provan, Gregory

doi:10.1007/978-3-319-15201-1_9

Cited by 2 publications

(7 citation statements)

References 17 publications

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“…Physics-Based Modeling of faults relies on models of behavior that can be used to recognise misbehavior. Model-invalidation techniques recognize deviations in the ICPS telemetry from the values predicted in the model [41,42]. Noise discrimination is required since the differences may be small when the device is appearing to perform nominally [43,44].…”

Section: Fault Identification and Diagnosis In Icpsmentioning

confidence: 99%

“…Noise discrimination is required since the differences may be small when the device is appearing to perform nominally [43,44]. However, creating models is labor-intensive and they require careful calibration to enable them to determine when the ICPS has deviated from expected behaviors [41,45].…”

Section: Fault Identification and Diagnosis In Icpsmentioning

confidence: 99%

“…Diagnostic approaches encountered employed agents in both Model-Based [41,45] and Model-Free Artificial Intelligence fault-finding techniques [44,51]. The most common scenarios describe agents capturing diagnostic data, reasoning about evidence and then facilitating fault management [52,53].…”

Section: Intentional Agents For Fault Findingmentioning

confidence: 99%

“…The fault diagnostic engine adopts a model-based rather than a machine-learning approach. Manually creating models is labour and time-intensive, since models need to be calibrated [41,45]. IEC 61499 offers a formally-defined application structure file that allows the engine to autonomously construct an in-memory model of the function block application it has been assigned to monitor and diagnose.…”

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confidence: 99%

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Architecting an Agent-Based Fault Diagnosis Engine for IEC 61499 Industrial Cyber-Physical Systems

2021

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IEC 61499 is a reference architecture for constructing Industrial Cyber-Physical Systems (ICPS). However, current function block development environments only provide limited fault-finding capabilities. There is a need for comprehensive diagnostic tools that help engineers identify faults, both during development and after deployment. This article presents the software architecture for an agent-based fault diagnostic engine that equips agents with domain-knowledge of IEC 61499. The engine encourages a Model-Driven Development with Diagnostics methodology where agents work alongside engineers during iterative cycles of design, development, diagnosis and refinement. Attribute-Driven Design (ADD) was used to propose the architecture to capture fault telemetry directly from the ICPS. A Views and Beyond Software Architecture Document presents the architecture. The Architecturally-Significant Requirement (ASRs) were used to design the views while an Architectural Trade-off Analysis Method (ATAM) evaluated critical parts of the architecture. The agents locate faults during both early-stage development and later provide long-term fault management. The architecture introduces dynamic, low-latency software-in-loop Diagnostic Points (DPs) that operate under the control of an agent to capture fault telemetry. Using sound architectural design approaches and documentation methods, coupled with rigorous evaluation and prototyping, the article demonstrates how quality attributes, risks and architectural trade-offs were identified and mitigated early before the construction of the engine commenced.

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Section: Fault Identification and Diagnosis In Icpsmentioning

confidence: 99%

Section: Fault Identification and Diagnosis In Icpsmentioning

confidence: 99%

Section: Intentional Agents For Fault Findingmentioning

confidence: 99%

mentioning

confidence: 99%

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Architecting an Agent-Based Fault Diagnosis Engine for IEC 61499 Industrial Cyber-Physical Systems

2021

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“…However, Milis et al [33] highlight the amount of effort needed to calibrate models. Provan [88] also discusses two practical impediments to effective model-based diagnosis: the failure to integrate di-650 agnostic modeling early enough in the requirements process and ambiguities in the models themselves at run-time.…”

mentioning

confidence: 99%

Finding faults: A scoping study of fault diagnostics for Industrial Cyber–Physical Systems

Dowdeswell

Sinha

MacDonell

2020

Journal of Systems and Software

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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A Contracts-Based Framework for Systems Modeling and Embedded Diagnostics

Cited by 2 publications

References 17 publications

Architecting an Agent-Based Fault Diagnosis Engine for IEC 61499 Industrial Cyber-Physical Systems

Architecting an Agent-Based Fault Diagnosis Engine for IEC 61499 Industrial Cyber-Physical Systems

Finding faults: A scoping study of fault diagnostics for Industrial Cyber–Physical Systems

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