Extension of a telemedicine framework for analysis of industrial machinery data

作     者：Albert, Michael Aschenbrenner, Doris Barth, Paul Fritscher, Michael Schilling, Klaus 

作者机构：Zentrum für Telematik e.V. Würzburg Germany Department of Computer Science - Robotics and Telematics University of Würzburg Würzburg Germany 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2016年第49卷第30期

页      面：314-319页

核心收录：

主　　题：Machinery Failure analysis Fault detection Knowledge based systems Manipulators Manufacture Telemedicine Wireless telecommunication systems Analysis frameworks Failure Diagnosis Industrial machinery Production process Remote experts Tele maintenance Telematics Telemedicine systems 

摘      要：To extend our system for teleoperation and telemaintenance of industrial machinery we combine it with a rule based analysis framework from our telemedicine system. The goal is to provide a remote expert the ability to analyze industrial machinery data for failure diagnosis or optimization of production processes. We describe the changes we made to the rule based system to be able to fulfill given tasks for data analysis. We processed every task with data recorded from a machine during production and show the results and insights from analyzing the data. © 2016