2013
DOI: 10.1016/j.csi.2012.10.002
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Distributed embedded condition monitoring systems based on OSA-CBM standard

Abstract: This paper presents an approach to distributed condition monitoring systems that offers a reusable software architecture for a class of condition monitoring (CM) applications. The focus of this paper deals with an open software framework for development of CM applications stemming from 1) the Open System Architecture for Condition Based Maintenance (OSA-CBM) specification, which is an architecture promoting interoperability, and 2) a component framework that enables reuse, data process partitioning, configurat… Show more

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Cited by 18 publications
(7 citation statements)
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“…Once this solution has been identified and optimized, architecting the IVHM solution is the next challenge within the IVHM design process. Currently, Open System Architecture for Condition Based Maintenance (OSA-CBM) is considered to be a good reference model for IVHM solutions and various instantiations of this framework for distributed embedded application are present in the literature (Sreenuch et al, 2013;Sreenuch et al, 2014). It is important to consider at this stage, the division between on-board and off-board capability under which IVHM has to be implemented and deployed.…”
Section: Preliminary Designmentioning
confidence: 99%
“…Once this solution has been identified and optimized, architecting the IVHM solution is the next challenge within the IVHM design process. Currently, Open System Architecture for Condition Based Maintenance (OSA-CBM) is considered to be a good reference model for IVHM solutions and various instantiations of this framework for distributed embedded application are present in the literature (Sreenuch et al, 2013;Sreenuch et al, 2014). It is important to consider at this stage, the division between on-board and off-board capability under which IVHM has to be implemented and deployed.…”
Section: Preliminary Designmentioning
confidence: 99%
“…The first stage in any Prognostic Health Management system typically involves appropriate preprocessing of equipment sensor data. This is termed the Data Manipulation phase in the OSA-CBM architecture (Sreenuch, 2013). The feature extraction stage within a Prognostic Health Management system is designed to generate a group of data features, which can be used to infer the current health status of a monitored system.…”
Section: Signal Processing For Feature Extractionmentioning
confidence: 99%
“…The database can use a standardized metadata format for making the data exchange as robust as possible. The Open System Architecture for Condition Based Maintenance (OSA-CBM) standardized database of the Machine Information Management Open Systems Alliance (Mimosa) can work as a model for meta-data as it has standardized definitions which help to locate the wanted sensor from the specified machine in certain location (Sreenuch et al, 2013;MIMOSA).…”
Section: Advanced Wear Monitoringmentioning
confidence: 99%