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2017 | OriginalPaper | Buchkapitel

11. Two-Year Operational Evaluation of a Consumer Electronics-Based Data Acquisition System for Equipment Monitoring

verfasst von : G. R. Wetherington, B. W. Van Hoy, B. Damiano, L. D. Phillips, C. D. Green

Erschienen in: Sensors and Instrumentation, Volume 5

Verlag: Springer International Publishing

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Abstract

Oak Ridge National Laboratory (ORNL) has performed a 2-year evaluation of the performance of an in-house developed consumer electronics-based data acquisition system (DAS). The main advantage of this approach compared to conventional instrumentation grade systems is cost; instrument grade data acquisition systems average costs range from $800 to $2000 per channel compared to a range of $200 – 400 per channel for a consumer electronics-based system.
The DAS is operated as a full-time in-situ vibration monitor. The resulting data is streamed over the ORNL network, at an aggregate rate of approximately two megabytes/s, to a Linux server. The server includes the capability to implement event-triggered data stores, as well as real-time files for the implementation of continuous display monitoring of the spectra. Detailed spectral analysis is performed post event.
The DAS is installed on a large industrial chiller and cooling water pump associated with ORNL’s Titan supercomputer. These mechanical systems include rotating components that operate at fundamental frequencies within the range of 30 Hz to over 3 KHz.
Evaluation of the DAS data over a 2-year operating period leads to the conclusion that for many industrial processes this system could form the basis for a cost effective means of obtaining operating health data in real time from rotating machinery. The deployment has also shown that the DAS technology is reliable. Furthermore, because the cost of the DAS is low, the other significant advantage of this approach is that the DAS can be deployed in a dedicated manner and operated on a full-time basis.

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Metadaten
Titel
Two-Year Operational Evaluation of a Consumer Electronics-Based Data Acquisition System for Equipment Monitoring
verfasst von
G. R. Wetherington
B. W. Van Hoy
B. Damiano
L. D. Phillips
C. D. Green
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-54987-3_11

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