A Cost Optimized Data Acquisition System For Predictive Maintenance

Research output: Chapter in Book/Report/Conference proceedingsConference contribution


In this paper, we focus on the development and application of a cost optimized sensor platform for predictive maintenance of industrial fans. Typically, condition monitoring systems that include threshold and frequency analysis are expensive and sometimes exceed the costs of the monitored device. With respect to safety issues, supervision of the health state of machinery – such as large industrial radial fans – is eminent. The proposed sensor platform is a cheaper alternative to commercial solutions and provides maximum flexibility concerning sampling rate, mobility, adaptability, and expandability. The prototype is used to collect relevant process data of a real industrial radial fan. In future, raw data shall be used to develop models for predictive maintenance.
Original languageEnglish
Title of host publication6. Tagung Innovation Messtechnik
PublisherWalter de Gruyter GmbH & Co. KG
ISBN (Print)978-3-8440-6596-1
Publication statusPublished - 2019
EventInnovation Messtechnik 2019 - Linz, Austria
Duration: 16 May 201916 May 2019


ConferenceInnovation Messtechnik 2019


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