웨이블릿 에너지 스펙트럼 기반의 관리도를 통한 화력발전소 발전기의 상태기반보전 방법에 대한 연구A Condition-Based Maintenance Method Through Control Charts Based on the Wavelet Energy Spectrum of Generators in Thermal Power Plants*
- Other Titles
- A Condition-Based Maintenance Method Through Control Charts Based on the Wavelet Energy Spectrum of Generators in Thermal Power Plants*
- Authors
- 배석주; 태진하; 정창식; 조영진; 오형술; 채선규
- Issue Date
- Dec-2022
- Publisher
- 한국신뢰성학회
- Keywords
- Condition Based Maintenance(CBM); Control Chart; Power Plant; Wavelet Spectrum Analysis
- Citation
- 신뢰성 응용연구, v.22, no.4, pp.363 - 373
- Indexed
- KCI
- Journal Title
- 신뢰성 응용연구
- Volume
- 22
- Number
- 4
- Start Page
- 363
- End Page
- 373
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/182287
- DOI
- 10.33162/JAR.2022.12.22.4.363
- ISSN
- 1738-9895
- Abstract
- Purpose: Failing power-plant equipment can cause significant harm to both human life and expensive infrastructure. Hence, both effective process-monitoring and failure-prediction techniques are needed to prevent catastrophic equipment failure. Existing time-based maintenance-methods are not enough to prevent catastrophic failures. In this work, a condition-based maintenance (CBM) method, which can predict failures using wavelet-based process-monitoring methods, is studied.
Methods: Both a wavelet spectrum analysis (with coefficients extracted from the wavelet transform) and a chart (with a slope and intercept based on a linear trend profile) are used in this study. The results are then embedded into a chart.
Results: The proposed methodology in this study is validated using data signals coming from thermoelectric power plants. Overall, the proposed monitoring method has a higher prediction performance using breakdown signals than the traditional chart-based maintenance method.
Conclusion: The investigated failure-prediction method is not only more successful but also more specific when abnormal signal patterns are detected before failures. Therefore, using the proposed method for condition-based maintenance can help save resources and prevent human losses.
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