Prognostics and Health Management (PHM) is an emerging concept based on industrial data management. The implementation of PHM in small and medium-sized enterprises (SMEs) is currently limited due to data accessibility difficulties. In order to overcome this pitfall, one could formalize the operators’ knowledge and integrate it in the SME’s information system. Thus, the implementation of the PHM will be based on this information system associating data with knowledge. To this end, we propose a collaborative PHM approach (X-PHM) to ensure the extraction of operators’ knowledge and its integration into the PHM process. The decision resulting from this approach is restituted with a concern of explainability. This paper details the proposed approach while focusing on the data management process and its integration in explainable decisions. This new framework is applied in a French SME to understand its production process and facilitate its digital transformation.
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Omri et al. (2021) studied this question.
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