Enhancing polymer electrolyte membrane fuel cell system diagnostics through semantic modelling
作者：
Highlights：
• Semantic technologies are adopted for prognosis and diagnosis of PEM fuel cells.
• A platform is developed providing explanations for the impeding or occurring failures.
• The platform allows access to the end-user to retrieve implied information.
• The platform automatically isolates the results of unreliable sensors before the performance of any diagnostic tasks.
• Experimental validation of the platform against common automotive stress conditions is conducted.
摘要
•Semantic technologies are adopted for prognosis and diagnosis of PEM fuel cells.•A platform is developed providing explanations for the impeding or occurring failures.•The platform allows access to the end-user to retrieve implied information.•The platform automatically isolates the results of unreliable sensors before the performance of any diagnostic tasks.•Experimental validation of the platform against common automotive stress conditions is conducted.
论文关键词：PEMFC,Semantic technologies,System monitoring,Ontology Based Data Access,Diagnostic system
论文评审过程：Received 2 November 2018, Revised 6 March 2020, Accepted 9 May 2020, Available online 3 July 2020, Version of Record 11 August 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113550
