Semantic Service Technologies for Industrial Fault Analysis IoT

Bo XIAO, Hai-mei TANG, Kang ZHAO


This paper presents an industrial fault analysis Internet of Things (IoT) system adopting the semantic service paradigm. Industrial vibration fault analysis becomes increasingly useful for economical and safety reasons. The architecture of vibration fault analysis IoT consists of enterprise level, gateway level and endpoint level where various vibration detection services are integrated. Semantic service involves the collection, representation and processing of relevant information of devices and data was developed. Data processing schemes and services are proposed quantifying the criteria of fault evaluation, and the relevant ontology was designed. Testing results show the effectiveness of the proposed approach and system design in increasing the flexibility and accuracy of real-time industrial vibration fault analysis.


Internet of Things (IoT), Semantic service, Industrial fault detection


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