Condition based maintenance on turbogenerators: what makes it real?

Stephan, C.-E.; Laird, T.

doi:10.1109/iemdc.2003.1210340

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…Due to the complexity of the machinery and downtime cost, PM was introduced in the 1950s (Heng et al, 2009). It is also called time-based maintenance (Stephan and Laird, 2003) or scheduled maintenance (Mahalungkar and Ingram, 2004). PM is performed to keep machines working.…”

Section: Preventive Maintenancementioning

confidence: 99%

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Intelligent Condition Monitoring Models For Rotating

Rashidi¹

2021

Preprint

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Condition-based maintenance (CBM) is a maintenance strategy that reduces equipment downtime, production loss, and maintenance cost based on the changes in machine condition (e.g., changes in vibration, power usage, operating performance, temperatures, noise levels, chemical composition, and debris content). A newly developed condition monitoring model (CMM) is developed based on Bayesian decision theory, which takes vibration signals from a rotating machine and classifies them to either the normal or abnormal state. A conditional risk function is defined, which is calculated based on a loss table and the posterior probabilities. Using the conditional risk funciton, the machine condition can be classified to either the normal or abnormal condition. The developed model can efficiently avoid unnecessary maintenance and take timely actions through analyzing the received vibration signals from the machine. However, the vibration signals sometimes may not be sensed, transmitted, or received precisely due to unexpected situations. Therefore, a fuzzy Bayesian model for condition monitoring of a system is proposed. A program is coded in visual basic to run the models. Illustrative examples are demonstrated to present the application of both models.

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Section: Preventive Maintenancementioning

confidence: 99%

“…Partial discharges (PD) are discussed as a feature to detect failures in generators and motors (Zhu et al, 2002;Stephan and Laird, 2003;Flubacher and Strehl, 2008). The stator insulation system of the generators and motors is usually degraded due to electrical, mechanical, thermal, and environmental stresses.…”

Section: Partial Discharges (Pd) Literature Reviewmentioning

confidence: 99%

Intelligent Condition Monitoring Models For Rotating

Rashidi¹

2021

Preprint

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“…The maintenance support policy with failure prognostics is based on the real time monitoring on the situation of the equipment. That could avoid the unscheduled outage and reduce the loss in a large part [10], [12], [13] . And the remaining life of the equipment would be obtained through the failure prognostics system, from the information of which the number of unnecessary maintenance support could be decreased [14], [15] .…”

Section: Introductionmentioning

confidence: 97%

The modeling method on failure prognostics uncertainties in maintenance policy decision process

Liu

Kang

et al. 2011

The Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety

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The maintenance support process of the equipment with failure prognostics is analyzed carefully in this paper. And the uncertainty factors which exist in this process are presented. Then they are separated into two groups: from the randomness and from the incomplete comprehend. The definitions of each group are given and researched in detail at the same time. And the quantitative analysis method of the primary uncertainty factors is given. The model of maintenance policy decision making is presented simultaneously.

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“…The prevailing method of maintenance operations has increasingly changed from time-based maintenance (TBM) to condition-based maintenance (CBM) [2]. With TBM, facilities are checked regularly and kept in good repair through regular replacement of worn parts.…”

Section: Introductionmentioning

confidence: 99%

An Information Delivery Method Driven by Event Matching for Information and Control Systems

Sobue

Sameshima

Adachi

2006

2006 SICE-ICASE International Joint Conference

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In recent years, in the industry, real-time decision making integrating plant field and business systems information has become indispensable. In addition, with the arrival of the ubiquitous information society, the use of sensors in the field and information utilized for business are increasing. In this environment, handling field information in real time and connecting it with business is a crucial challenge. With condition-based management, the facilities are monitored and are kept in good condition depending on their state rather than according to a prescribed schedule. However, in the event of a facilities error, demand for access to the same data centers increases, degrading response performance. A method is described for delivering information data to operating applications as triggered by a control event. In the event of a facilities error, access to information data is integrated, and the information data is duplicated and delivered to operating applications. Then, concentrated demand for access to information data can be avoided, and the response performance of operating applications can be ensured. Since the method has not been tested, it is now necessary to perform a feasibility study including performance verification.

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Condition based maintenance on turbogenerators: what makes it real?

Cited by 7 publications

References 2 publications

Intelligent Condition Monitoring Models For Rotating

Intelligent Condition Monitoring Models For Rotating

The modeling method on failure prognostics uncertainties in maintenance policy decision process

An Information Delivery Method Driven by Event Matching for Information and Control Systems

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