Continuous Improvement on Information and On-line Maintenance Technologies for Increased Cost-effectiveness

Arnáiz, Aitor; Konde, Egoitz; Alarcon, Jorge A.

doi:10.1016/j.procir.2013.07.038

Cited by 13 publications

(10 citation statements)

References 4 publications

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“…To train the model data of faulty insulator detection using proportional integral and derivative (PID) test conducted on 400 KV Koradi-Bhusawal line is used. Transmission line model for individual phase fault of three phases were computer-generated for 350 km line length with intervals of 5 km [4], [18], [19]. ANN gives accurate pattern recognition, which is proposed by researcher to use in various applications of power system, decision making under fault condition, relaying and for signal processing [20].…”

Section: Ann Techniquementioning

confidence: 99%

Application of artificial intelligence in early fault detection of transmission line-a case study in India

Mawle

Dhomane

Burade

2022

IJECE

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<span lang="EN-US">Reliable energy is ensured by the power quality, safety and security. For reliability and economic growth of transmission utilities, it is necessary to maintain continuity of supply, which is challenging under deregulated system. It is essential for utilities to conduct regular maintenance of transmission lines before supply interrupts. To protect line from fault, it is necessary to detect fault on line, its classification and location at the earliest. Various smart techniques along with application of artificial intelligence (AI) in power system are under investigation. This paper tries to find solution by identifying practical common faults occurred on transmission lines, and also suggests the suitable maintenance methodology. It uses the artificial neural network (ANN) method and live line maintenance technique (LLMT) for pre identification of a fault and subsequent predictive maintenance. Paper compares results of combination of ANN with LLMT and cold line maintenance technique (CLMT). Comparison of statistical analysis shows combine model of ANN and LLMT results in minimize outage time, failure rate which can improve system availability and increases revenue.</span>

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Section: Ann Techniquementioning

confidence: 99%

Application of artificial intelligence in early fault detection of transmission line-a case study in India

Mawle

Dhomane

Burade

2022

IJECE

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“…20 [167]. Arnaiz et al [6] presents a methodology of predictive maintenance technologies that is integrated with specific business scenarios and upcoming technologies. Optimisation of preventive maintenance schedule and spare parts supply is proposed using a stochastic algorithm that uses a load-dependent reliability model [94].…”

Section: Integrated Planningmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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“…28 To achieve these objectives, remote monitoring as well as analysis on data collected remotely from the installed base would be truly beneficial. 29 However, as presented in Figure 11, advanced fleet operation and maintenance practices are still scarcely diffused among European companies: This represents a significant gap to be fulfilled by companies who are seeking to offer new service-oriented value propositions to their customers.…”

Section: Key Activitiesmentioning

confidence: 99%

The transition towards service-oriented business models

Adrodegari

Bacchetti

Saccani

et al. 2018

International Journal of Engineering Business Management

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New trends for capital goods manufacturers push towards selling the products usage or performance rather than the product itself. This evolution from traditional business models, based on the product sales, to new service-oriented business models (BMs), has received increasingly attention both in the academic and managerial community. Despite this, a limited application of service offerings has been observed in the capital goods sector. This article reports the results from a survey carried out during the T-REX project, funded by the European Union under the Seventh Framework Programme, and has two objectives: (a) to empirically investigate the way BMs of capital goods companies are configured and (b) to analyse the degree of service orientation of such BMs. Finally, the main challenges for practitioners emerged from the survey are discussed in this article, highlighting directions for future research.

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Continuous Improvement on Information and On-line Maintenance Technologies for Increased Cost-effectiveness

Cited by 13 publications

References 4 publications

Application of artificial intelligence in early fault detection of transmission line-a case study in India

Application of artificial intelligence in early fault detection of transmission line-a case study in India

Continuous maintenance and the future – Foundations and technological challenges

The transition towards service-oriented business models

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