Criticality Analysis for improving maintenance, felling and pruning cycles in power lines

Crespo, Adolfo; Sola, Antônio Vanderley Herrero; Moreu, Pedro; Gómez, J.F.; Fuente, Antonio de la; Guillén, Antonio; González-Prida, Vicente

doi:10.1016/j.ifacol.2018.08.262

Cited by 18 publications

(9 citation statements)

References 2 publications

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“…A process to rank the hierarchy of electrical network assets according to criticality was presented by Crespo et al [3]. To this end, a Criticality Analysis App could be offered to an end customer.…”

Section: Methodology Proof Of Concept: Data Model For a Criticality Amentioning

confidence: 99%

“…Intelligent asset management platforms are software platforms to collect and analyze data from industrial assets, and these are conceived mainly from the energy sector (Oil and Gas, and Electricity) to solve previous issues [2]. This is the main reason for our study; from the observed Intelligent Assets Management Platforms (IAMP) solutions in different energy network utility companies, there are three basic scenarios: Some assuming developed solutions from asset providers [3], others developing tailor-made solutions internally [4], and others, more recently, where the developments are supported over big data intelligent solutions configured over cloud IT solutions [5]. The similarity in concept application and compatibility with new assets or among systems is very difficult to maintain and only with enormous cost effort periodically.…”

Section: Introductionmentioning

confidence: 99%

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Maintenance Management through Intelligent Asset Management Platforms (IAMP). Emerging Factors, Key Impact Areas and Data Models

et al. 2020

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Maintenance Management is a key pillar in companies, especially energy utilities, which have high investments in assets, and so for its proper contribution has to be integrated and aligned with other departments in order to conserve the asset value and guarantee the services. In this line, Intelligent Assets Management Platforms (IAMP) are defined as software platforms to collect and analyze data from industrial assets. They are based on the use of digital technologies in industry. Beside the fact that monitoring and managing assets over the internet is gaining ground, this paper states that the IAMPs should also support a much better balanced and more strategic view in existing asset management and concretely in maintenance management. The real transformation can be achieved if these platforms help to understand business priorities in work and investments. In this paper, we first discuss about the factors explaining IAMP growth, then we explain the importance of considering, well in advance, those managerial aspects of the problem, for proper investments and suitable digital transformation through the adoption and use of IAMPs. A case study in the energy sector is presented to map, or to identify, those platform modules and Apps providing important value-added features to existing asset management practices. Later, attention is paid to the methodology used to develop the Apps’ data models from a maintenance point of view. To illustrate this point, a methodology for the development of the asset criticality analysis process data model is proposed. Finally, the paper includes conclusions of the work and relevant literature to this research.

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Section: Methodology Proof Of Concept: Data Model For a Criticality Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Maintenance Management through Intelligent Asset Management Platforms (IAMP). Emerging Factors, Key Impact Areas and Data Models

et al. 2020

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“…In Model 3, only implementation costs of the pruning activities are minimized, subject to the same constraints in Model 2. min (7) Subject to: Equations (2) to ( 6), (8), and (9).…”

Section: Modelmentioning

confidence: 99%

“…The improvement stage takes each solution in the front obtained in Model 4, and it evaluates them in the model of equations ( 7), (8), and (9).…”

Section: Modelmentioning

confidence: 99%

“…[5] [6] [7]. A criticality analysis of overhead power lines' assets based on decision support systems and risk management is proposed in [8] to improve preventive pruning programs. Additionally, the study in [9] presents the characteristics of leakage current of different vegetation flames and the effect of flame conductivity on wireplate gap breakdown characteristics.…”

Section: Introductionmentioning

confidence: 99%

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Optimal management of vegetation maintenance and the associated costs of its implementation in overhead power distribution systems

Correa-Tamayo

Arias-Londoño

Echeverri

2019

TecnoL.

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Network operators work constantly to maintain an appropriate level of reliability in their power supply and to preserve the integrity of the vegetation growing underneath overhead power distribution systems. Accordingly, this article proposes and adopts different approaches to optimally manage vegetation maintenance in such field. Mathematical modeling is used to represent the problem in terms of several aspects involved in vegetation management, based on the technical capacity of the utility company and the reliability goals established by governmental regulatory entities. The solution is a vegetation maintenance schedule in terms of when, where, and which crews must perform the pruning activities along the distribution network. As a result, the Non-Served Energy Level NSEL is minimized and the financial resources earmarked for this type of maintenance tasks are optimized.

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Benefits of Digital Transformation for Maintenance Management Systems. Market Trends

Márquez

2022

Springer Series in Reliability Engineering

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Criticality Analysis for improving maintenance, felling and pruning cycles in power lines

Cited by 18 publications

References 2 publications

Maintenance Management through Intelligent Asset Management Platforms (IAMP). Emerging Factors, Key Impact Areas and Data Models

Maintenance Management through Intelligent Asset Management Platforms (IAMP). Emerging Factors, Key Impact Areas and Data Models

Optimal management of vegetation maintenance and the associated costs of its implementation in overhead power distribution systems

Benefits of Digital Transformation for Maintenance Management Systems. Market Trends

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