A Review of the MIMOSA OSA-EAI Database for Condition Monitoring Systems. Mathew, A., Zhang, L., Zhang, S., & Ma, L. In Mathew, J., Kennedy, J., Ma, L., Tan, A., & Anderson, D., editors, Engineering Asset Management, pages 837–846, London, 2006. Springer. doi abstract bibtex Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and maintenance costs of a system. Many condition monitoring systems are commercially available, however these systems are limited in their support of diagnostic and prognostic models developed by external parties. An attempt to develop an extensible condition monitoring software lead to the creation of an ISO 13374/OSA-CBM based system named BUDS, which focuses on vibration condition monitoring. Research into condition monitoring data management strategies led our team to implement a database to support the data-driven application. A database based on the MIMOSA OSA-EAI database specification was used to store asset and sensor location, measurement event, raw sensor and processed signal data. This paper investigates the use of the MIMOSA OSA-EAI database for condition monitoring systems, and presents several issues encountered during the development process.
@inproceedings{mathew_review_2006,
address = {London},
title = {A {Review} of the {MIMOSA} {OSA}-{EAI} {Database} for {Condition} {Monitoring} {Systems}},
isbn = {978-1-84628-814-2},
doi = {10.1007/978-1-84628-814-2_88},
abstract = {Condition monitoring systems are prevalent in industries that contain critical assets. Their use allows the detection of potential failures at an early stage in order to minimise downtime and maintenance costs of a system. Many condition monitoring systems are commercially available, however these systems are limited in their support of diagnostic and prognostic models developed by external parties. An attempt to develop an extensible condition monitoring software lead to the creation of an ISO 13374/OSA-CBM based system named BUDS, which focuses on vibration condition monitoring. Research into condition monitoring data management strategies led our team to implement a database to support the data-driven application. A database based on the MIMOSA OSA-EAI database specification was used to store asset and sensor location, measurement event, raw sensor and processed signal data. This paper investigates the use of the MIMOSA OSA-EAI database for condition monitoring systems, and presents several issues encountered during the development process.},
language = {en},
booktitle = {Engineering {Asset} {Management}},
publisher = {Springer},
author = {Mathew, Avin and Zhang, Liqun and Zhang, Sheng and Ma, Lin},
editor = {Mathew, Joseph and Kennedy, Jim and Ma, Lin and Tan, Andy and Anderson, Deryk},
year = {2006},
keywords = {BUDS, Condition Monitoring, Critical Assets, Development, Diagnostic, Downtime, MIMOSA, Prognostic, Sensor},
pages = {837--846},
}
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