CBR-ODAF: A Case-Based Reasoning for the Online Diagnosis of All internal Faults in Automated Production Systems

10 pages•Published: September 26, 2019

Nourhène Ben Rabah, Ines Ben Tekaya and Moncef Tagina

Abstract

In this paper, we focus on the online diagnosis of Automated Production Systems (APS) equipped with sensors and actuators emitting binary signals. These systems can be considered as Discrete Event Systems (DES). The paper presents a Case-Based Reasoning for the Online Diagnosis of All types of Faults in APS (CBR-ODAF). It is an improvement of our approach presented previously in order to remedy its limitations. Firstly, it proposes a new case representation format that describes all the faults to diagnose, adapts to the dynamic aspect of APS, is quite expressive and is easy to understand by human operators. Secondly, it allows to classify in real time each new observation as a ’normal case’, ’faulty case’ or ’unidentified case’ based on a new dissimilarity index which is not intrinsic to the numerical type. It is an index that adapts to our proposed case representation format and describes the degree of difference between cases represented by data of different types (i.e. quantitative and qualitative).

Keyphrases: automated production systems, case based reasoning, causal temporal signatures, digital twin, discrete event systems, online faults diagnosis, similarity metrics

In: Quan Yuan, Yan Shi, Les Miller, Gordon Lee, Gongzhu Hu and Takaaki Goto (editors). Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering, vol 63, pages 43-52.

Links:	https://easychair.org/publications/paper/sDv4
	https://doi.org/10.29007/fvrt

BibTeX entry

@inproceedings{CAINE2019:CBR_ODAF_Case_Based,
  author    = {Nourhène Ben Rabah and Ines Ben Tekaya and Moncef Tagina},
  title     = {CBR-ODAF: A Case-Based Reasoning for the Online Diagnosis of All internal Faults in Automated Production Systems},
  booktitle = {Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering},
  editor    = {Quan Yuan and Yan Shi and Les Miller and Gordon Lee and Gongzhu Hu and Takaaki Goto},
  series    = {EPiC Series in Computing},
  volume    = {63},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/sDv4},
  doi       = {10.29007/fvrt},
  pages     = {43-52},
  year      = {2019}}

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