Maintenance of street lights by climbing robots in Alborz electric power distribution company

The main purpose of this study was to assess equipment maintenance practices for effective electric power distribution in Adamawa State by Yola Electricity Distribution Company. Three research questions and three null hypotheses were formulated to guide the study. The study adopted descriptive survey research design. The population of the study was 69 consisting of 46 technicians and 23 supervisors in Yola Electricity Distribution Company. The whole population was used for the study. The instrument for data collection was a structured questionnaire developed by the researchers titled “Assessment of Equipment Maintenance Practices for Effective Electric Power Distribution Questionnaire (AEMPELPDQ)”. The instrument was validated by three experts and a reliability of 0.89 was obtained using Cronbach Alpha reliability method. Mean and standard deviation was used to answer the research questions while t-test was used to test the null hypotheses at 0.05 level of significance. The finding of the study revealed that Yola Electricity Distribution Company adopts monthly routine maintenance on 18 out of the 31 items listed equipment while quarterly routine maintenance is carried out on 11 of the 31 items. Weekly maintenance is adopted for only two (2) of the equipment; Out of the 31 items listed, 22 of the items are semi-annually maintained; while eight (8) of the items are annually maintained and only one (1) of the equipment (distribution board) is weekly maintained. Based on the findings, YEDC should ensure adequate inspection and supervision of equipment to prevent unwarranted breakdown that may affect effective distribution of electrical power; YEDC should ensure at least monthly routine maintenance is carried out on the equipment available to ensure effective usage.

Download Full-text

Use of failure data and criticality analysis in a maintenance management tool for electric power distribution company

DYNA ◽

10.15446/dyna.v86n208.69794 ◽

2019 ◽

Vol 86 (208) ◽

pp. 199-205

Author(s):

Anderson S Nunes ◽

Jairo J O Andrade

Keyword(s):

Electric Power ◽

Power Distribution ◽

Failure Modes ◽

Management Tool ◽

Effect Analysis ◽

Support Tool ◽

Failure Data ◽

Electric Power Distribution ◽

Distribution Company ◽

Criticality Analysis

Electric power distribution companies are facing a delicate moment. Privatizations, scarce resources, few investments and harsh penalties due to lack of quality force these companies to seek greater efficiency and control of their processes. Thus, making decisions based only on tacit knowledge and without a clear procedure, like the maintenance company that was part of this study, is not advisable. For this reason, this work aimed to develop a support tool for maintenance decisions, based on failure data and criticality analysis. The FMEA (Failure Mode and Effect Analysis) method was used to discover the riskiest failure modes, and the MAUT (Multi-Attribute Utility Theory) and the Mudge method were used to rank the main criteria used by experts when deciding which transmission line (TL) is in a more critical condition. As a result, the study proposed a tool that guides decision-making in a systematized, impersonal and collective knowledge-based manner for the specific situations encountered in TL maintenance. The results were approved and judged satisfactory by the members of a team of specialists from the maintenance sector.

Download Full-text