Context-based and human-centred information fusion in diagnostics

Maintenance management and engineering practice has progressed to adopt approaches which aim to reach maintenance decisions not by means of pre-specified plans and recommendations but increasingly on the basis of best contextually relevant available information and knowledge, all considered against stated objectives. Different methods for automating event detection, diagnostics and prognostics have been proposed, which may achieve very high performance when appropriately adapted and tuned to serve the needs of well defined tasks. However, the scope of such solutions is often narrow and without a mechanism to include human contributed intervention and knowledge contribution. This paper presents a conceptual framework of integrating automated detection and diagnostics and human contributed knowledge in a single architecture. This is instantiated by an e-maintenance platform comprising tools for both lower level information fusion as well as for handling higher level knowledge. Well structured maintenance relationships, such as those present in a typical FMECA study, as well as on the job human contributed compact knowledge are exploited to this end. A case study presenting the actual workflow of the process in an industrial setting is employed to pilot test the approach

Current trends on ICT technologies for enterprise information s²ystems

The proposed paper discusses the current trends on ICT technologies for Enterprise Information Systems. The paper starts by defining four big challenges of the next generation of information systems: (1) Data Value Chain Management; (2) Context Awareness; (3) Interaction and Visualization; and (4) Human Learning. The major contributions towards the next generation of information systems are elaborated based on the work and experience of the authors and their teams. This includes: (1) Ontology based solutions for semantic interoperability; (2) Context aware infrastructures; (3) Product Avatar based interactions; and (4) Human learning. Finally the current state of research is discussed highlighting the impact of these solutions on the economic and social landscape

Profiling Context Awareness in Mobile and Cloud Based Engineering Asset Management

Part IV: ICT and Emerging Technologies in Production ManagementInternational audienceThis paper presents an analysis of the potential and a methodology for handling context events and adaptations in maintenance services. A significant number of industrial IT systems employ data models and service frameworks whose design specifications where drafted on the basis of functional requirements for non context-aware systems. Such systems were modular in nature but little care was taken for providing data fusion in a context-aware manner. Though system intelligence might have been a feature for a subset of such systems, two major requirements kept implementations away from wider adoption: (i) refactoring and reengineering of the system’s base services (ii) customising and modifying the structure of a data model tightly connected with inter-process organisation. This paper discusses a methodology for injecting industrial asset management systems with modelling semantics and software mechanisms that enable context awareness via portable clients and application-agnostic data fusion services