Anomaly Detection for Hydraulic Power Units—A Case Study
نویسندگان
چکیده
This article aims to present the real-world implementation of an anomaly detection system a hydraulic power unit. Implementation involved Internet Things approach. A detailed description architecture is provided. The complete path from sensors through PLC and edge computer cloud presented. Some technical information about units also given. involves several model-at-scale deployment techniques. In addition, approach synthesis novelty models was described. Anomaly data acquired unit carried out using two approaches, statistical black-box, involving One Class SVM model. costs resources services that were generated in project are Since describes commercial implementation, results have been presented as far formal business conditions allow.
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ژورنال
عنوان ژورنال: Future Internet
سال: 2023
ISSN: ['1999-5903']
DOI: https://doi.org/10.3390/fi15060206