Proposal of fault prediction system for underground installations. (March 2016)
- Record Type:
- Journal Article
- Title:
- Proposal of fault prediction system for underground installations. (March 2016)
- Main Title:
- Proposal of fault prediction system for underground installations
- Authors:
- Henriques, H.O.
Barbero, A.P.L.
Ribeiro, R.M.
Fortes, M.Z.
Xavier, O.S.
Pequeno, M.A.C.
Vabo, C.G. - Abstract:
- Highlights: Fault prediction system for underground installations. Underground chamber supervision proposal. Measurement devices used for underground installations monitoring. Supervision system assembly for underground installations. ADALINE applied for measurement analysis. Abstract: The absence of intelligent systems for fault prediction in components and equipment in underground installations does not allow a correct structure for maintenance programs to reduce intervening maintenance actions. Thus, it is necessary to devise a computer system that can conjugate potential causes and factors of failure as input data that can correctly inform output data, which represents a component or equipment failure prediction. The aim of this paper is to present a proposal system to support maintenance analyses, where sensors of temperature, water level and vibration, can provide real time data to analyze the isolation condition of transformers and switches within underground chambers. The paper also presents a new use of a neural network to alarm partial discharges (PD) activities. A case is presented where hardware and software are developed and an underground chamber is used as a real test case. In this research, cost, performance, environmental hostility, and the availability of installed equipment in the Brazilian market were considered. After the methodology was verified, the cost was compared with imported equipment, and the result was approximately a 50% cost reduction. IssuesHighlights: Fault prediction system for underground installations. Underground chamber supervision proposal. Measurement devices used for underground installations monitoring. Supervision system assembly for underground installations. ADALINE applied for measurement analysis. Abstract: The absence of intelligent systems for fault prediction in components and equipment in underground installations does not allow a correct structure for maintenance programs to reduce intervening maintenance actions. Thus, it is necessary to devise a computer system that can conjugate potential causes and factors of failure as input data that can correctly inform output data, which represents a component or equipment failure prediction. The aim of this paper is to present a proposal system to support maintenance analyses, where sensors of temperature, water level and vibration, can provide real time data to analyze the isolation condition of transformers and switches within underground chambers. The paper also presents a new use of a neural network to alarm partial discharges (PD) activities. A case is presented where hardware and software are developed and an underground chamber is used as a real test case. In this research, cost, performance, environmental hostility, and the availability of installed equipment in the Brazilian market were considered. After the methodology was verified, the cost was compared with imported equipment, and the result was approximately a 50% cost reduction. Issues of telemetry, hub specification, and sensor installation were also evaluated. … (more)
- Is Part Of:
- Measurement. Volume 81(2016:Mar.)
- Journal:
- Measurement
- Issue:
- Volume 81(2016:Mar.)
- Issue Display:
- Volume 81 (2016)
- Year:
- 2016
- Volume:
- 81
- Issue Sort Value:
- 2016-0081-0000-0000
- Page Start:
- 232
- Page End:
- 240
- Publication Date:
- 2016-03
- Subjects:
- Maintenance -- Electrical parameters measurements -- Underground installations -- Fault prediction -- Maintenance systems
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2015.12.010 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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