A proposed maintenance strategy for a wind turbine gearbox using condition monitoring techniques

Baglee, David; Knowles, Michael; Kinnunen, Sini-Kaisu; Galar, Diego

doi:10.1504/ijpmb.2016.077629

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…reliability, availability, maintainability of assets, coupled with Occupational Safety and Health (OS&H) constraints and requirements as well as Enterprise Risk Management (ERM) as mentioned by (Komljenovic et al, 2016). Consequently, organizations have significant constraints as well as requirements to decrease equipment malfunctions or failures causing high-level expectations from maintenance (Baglee et al, 2016;Brown et al, 2014). For example, Komljenovic (2018) indicate that power utilities "should manage the replacement of huge parts of their assets as they reach the end of their lifecycle, become obsolete due to technological changes or because of transition to more efficient and carbon-free power alternatives".…”

Section: • Asset Management Modelsmentioning

confidence: 99%

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

Diop¹,

Abdul-Nour²,

Komljenović³

2022

AJIBM

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Suffice to say that long-established businesses have their own challenges. Furthermore, accurate systematic methods and tools for managing risks in the context of industry 4.0 are lacking or less efficient, spreading unrealistic awareness of risk (or situational awareness) in various domains where risk management is needed. Conventional methods have their own limits and might not identify all aspects that influence system safety. Once traditional industry challenges are combined with emerging risks along with new systemic and organizational risks as well as cognitive and motivational biases in human logic, there will be the necessity of building thorough Asset Management and Decision Support approaches accounting both for conventional and emerging risk safety management. Hence, innovative, and efficient approaches that can investigate issues from a broad systemic perspective to support asset management practitioners to deal with those threats associated with the complexity of socio-technical systems are of interest. On these grounds, this paper focuses on identifying and analyzing components of risk management approaches especially for new emerging safety risks within industry 4.0 (emerging technology-related risks), as well as the rising of extreme, rare, and disruptive events, at a time of continued uncertainty in the global economy, in conjunction with the highly insecure political situation caused by recent armed conflicts (for e.g., Russia vs Ukraine), and the coronavirus disease pandemic (COVID-19) that might create fatal disturbance of the performance of organizations. We opt for the relatively new methods that How to cite this paper: Diop, I., Abdul-Nour, G., & Komljenovic, D.

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Section: • Asset Management Modelsmentioning

confidence: 99%

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

Diop¹,

Abdul-Nour²,

Komljenović³

2022

AJIBM

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“…Igba et al [154] developed an approach for evaluating the effect of preventive maintenance (PM) interval on reliability and O&M costs of wind turbine gearbox. The readers can also refer to these references for further: [9,10,46,48,64,68,89,94,97,107,110,116,134,152,159,164,165,174,228,250].…”

Section: Level Of System Modelling (Component Wind Turbine Wind Farm)mentioning

confidence: 99%

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Shafiee

Sørensen

2019

Reliability Engineering & System Safety

146

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Highlights A classification framework for the study of maintenance policy optimization and inspection planning in wind energy industry;  To identify models, methods and strategies used to optimize maintenance decisions and inspection procedures for various wind energy assets (turbines, foundations, cables, electrical substations, etc.);  A systematic review of the literature over the past two decades (1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016);  Identify critical observations on each category of classification;  Suggest directions of potential interest to operational researchers.

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“…In addition, the diversity of data to support maintenance strategy development adds more complexity for data sharing and exchanging. A system-wide communication approach is needed to efficiently process and distribute the data [1]. The emergence of Information and Communication Technologies (ICTs) and the emaintenance approach in the industry has resulted in a promising move from the era of fix when failed into the era of predict and prevent.…”

Section: Introductionmentioning

confidence: 99%

Business Performance Measurements in Asset Management with the Support of Big Data Technologies

Campos

Sharma

Jantunen

et al. 2017

Management Systems in Production Engineering

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Abstract:The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today's ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

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A proposed maintenance strategy for a wind turbine gearbox using condition monitoring techniques

Cited by 7 publications

References 19 publications

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Business Performance Measurements in Asset Management with the Support of Big Data Technologies

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