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Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis
Joint Authors
Ding, Jianwei
Liu, Yingbo
Zhang, Li
Wang, Jianmin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Condition monitoring systems are widely used to monitor the working condition of equipment, generating a vast amount and variety of telemetry data in the process.
The main task of surveillance focuses on analyzing these routinely collected telemetry data to help analyze the working condition in the equipment.
However, with the rapid increase in the volume of telemetry data, it is a nontrivial task to analyze all the telemetry data to understand the working condition of the equipment without any a priori knowledge.
In this paper, we proposed a probabilistic generative model called working condition model (WCM), which is capable of simulating the process of event sequence data generated and depicting the working condition of equipment at runtime.
With the help of WCM, we are able to analyze how the event sequence data behave in different working modes and meanwhile to detect the working mode of an event sequence (working condition diagnosis).
Furthermore, we have applied WCM to illustrative applications like automated detection of an anomalous event sequence for the runtime of equipment.
Our experimental results on the real data sets demonstrate the effectiveness of the model.
American Psychological Association (APA)
Ding, Jianwei& Liu, Yingbo& Zhang, Li& Wang, Jianmin. 2015. Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074484
Modern Language Association (MLA)
Ding, Jianwei…[et al.]. Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1074484
American Medical Association (AMA)
Ding, Jianwei& Liu, Yingbo& Zhang, Li& Wang, Jianmin. Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074484
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074484