Enter your keyword

2-s2.0-85058585395

[vc_empty_space][vc_empty_space]

Maintenance Decision Models for Java-Bali 150-kV Power Transmission Submarine Cable Using RAMS

Nugraha H.a,b, Silalahi Z.O.a,b,c, Sinisuka N.I.a

a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, 40132, Indonesia
b PT Perusahaan Listrik Negara (Persero), Jakarta, 12760, Indonesia
c Laboratoire Plasma and Conversion d’Energie, Université Paul Sabatier, Toulouse, 31062, France

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2014 IEEE.The application of reliability, availability, maintainability, and security (RAMS) analysis is currently developing in many fields of an electrical power system. The focus of this paper is to demonstrate the applicability of RAMS to analyze maintenance planning on the 150-kV submarine cables of the Java-Bali power transmission system in Indonesia. In this maintenance decision model, four alternatives of a maintenance scheme are made based on maintenance interval and cable’s mechanical protection. Monte Carlo simulation will be used to obtain a RAMS value of each alternative. The decision is made based on a cost-effectiveness parameter using a life cycle cost analysis.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Electrical power system,Life cycle cost analysis,Maintenance decisions,Maintenance intervals,Mechanical protection,Power system security,Power transmission systems,Under water[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Availability,cost benefit analysis,maintenance,Monte Carlo methods,power system security,reliability,risk analysis,under water cable.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/JPETS.2016.2516944[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]