APPLYING PRECISION INTO PROACTIVE MAINTENANCE IN NIGERIA ELECTRIC POWER INDUSTRY
Journal Title: Engineering and Technology Journal - Year 2023, Vol 8, Issue 11
Abstract
Power station plants and equipments are required to run for well beyond their intended lifetime. Opening up machines for inspections is expensive and owners need to consider all relevant information in making the decision. Problems in power station machine which reduce machine efficiency and reliability such as shaft misalignment, deposits on blades can be detected and monitoring using monitoring by performance analysis. This paper outlines some of the methods using precision techniques, which have contributed to proactive maintenance in the world - class- precision maintenance. Some of the tools used in this case are outlined and recommends that proper use of these tools in the Nigerian electric power stations could improve maintenance efforts and increase reliability, availability and customers’ satisfactions. Hence this paper can be legitimised by training, procedures and changes in human thinking and behaviours and largely getting to the roots of the errors. Root cause analysis is the tool designed to follow mechanism back to physical roots and probably eliminate it by training, procedures and changes which will form the basis for precision based reliability and knowing that predictive technology is the key to breaking error chains
Authors and Affiliations
W. A. Akpan I. I Nyaudo
Keywords
Related Articles
- EP ID EP723550
- DOI 10.47191/etj/v8i11.13
- Views 40
- Downloads 0
CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation Bias
In human decision-making tasks, individuals learn through trials and prediction errors. When individuals learn the task, some are more influenced by good outcomes, while others weigh bad outcomes more heavily. Such confi...
An Experimental Investigation of the Effects MQL Using Nanofluids on Surface Roughness of Hard Milling Process
High cutting force and cutting heat are challenging problems that need to be overcome for the hard milling process. Minimum quantity lubrication (MQL) has been shown to be effective and suitable for use in hard milling d...
STUDY OF CLEAN WATER MANAGEMENT IN WATER TREATMENT PLANT GRAND CIKARANG CITY
In the last few months, residents of the North Cikarang GCC housing have complained that the water supplied by the PAPs is smelly, cloudy and unfit for bathing, washing dishes and clothes. This encourages the PAP develop...
ECG ARRHYTHMIA CLASSIFICATION USING A CONVOLUTION NEURAL NETWORK
In this research paper, we propose a method for electrocardiogram (ECG) arrhythmia classification using a convolutional neural network (CNN). CNN has established to have a great performance in ECG classification and patt...
Early Hotspot Detection in Photovoltaic Modules using Deep Learning Methods
Photovoltaic (PV) energy systems have been widely used in energy production especially in recent years due to their clean, reliable, environmentally friendly and resource continuity. The electrical energy to be obtained...