Reliability analysis of a reach stacker in relation to repair maintenance cost and time: a case study of the Gambia sea port

2019 ◽  
Vol 9 (3) ◽  
pp. 283-289
Author(s):  
Theodore Tchotang ◽  
Lucien Meva’a ◽  
Bienvenu Kenmeugne ◽  
Paul Victor Jatta
Keyword(s):  
Reliability Analysis ◽  
The Gambia ◽  
Maintenance Cost

Temperature and Humidity Dependent Reliability Analysis of RGB LED Chips

2006 ◽  
Author(s):  
Jun-Xian Fu ◽  
Shukri Souri ◽  
James S. Harris
Keyword(s):  
Reliability Analysis ◽  
Printed Circuit Board ◽  
Light Emitting Diode ◽  
Circuit Board ◽  
Light Emitting ◽  
Printed Circuit ◽  
Root Cause ◽  
Micro Cracks ◽  
Temperature And Humidity

Abstract Temperature and humidity dependent reliability analysis was performed based on a case study involving an indicator printed-circuit board with surface-mounted multiple-die red, green and blue light-emitting diode chips. Reported intermittent failures were investigated and the root cause was attributed to a non-optimized reflow process that resulted in micro-cracks and delaminations within the molding resin of the chips.

scholarly journals Evaluating the effectiveness of machine acquisitions and design by the impact on maintenance cost – a case study

2020 ◽  
Vol 53 (3) ◽  
pp. 25-30
Author(s):  
M. Hane Hagström ◽  
K. Gandhi ◽  
D. Bergsjö ◽  
A. Skoogh
Keyword(s):  
Maintenance Cost ◽  
The Impact

Reliability Analysis of Power Distribution System: A Case Study of Mofor Injection Substation, Delta State, Nigeria

2019 ◽  
Author(s):  
Oladimeji Joseph Ayamolowo ◽  
Chukwunonso Anthony Mmonyi ◽  
Samson Olasunkanmi Adigun ◽  
Olabisi Abdullahi Onifade ◽  
Kehinde Adetunji Adeniji ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
Power Distribution ◽  
Distribution System ◽  
Power Distribution System ◽  
System A

Reliability Analysis Using Deep Learning

2018 ◽  
Author(s):  
Chong Chen ◽  
Ying Liu ◽  
Xianfang Sun ◽  
Shixuan Wang ◽  
Carla Di Cairano-Gilfedder ◽  
...  
Keyword(s):  
Data Mining ◽  
Deep Learning ◽  
Reliability Analysis ◽  
General Principle ◽  
Preventive Maintenance ◽  
Maintenance Cost ◽  
Empirical Results ◽  
Time Between Failures ◽  
Learning Techniques ◽  
Deep Learning Model

Over the last few decades, reliability analysis has gained more and more attention as it can be beneficial in lowering the maintenance cost. Time between failures (TBF) is an essential topic in reliability analysis. If the TBF can be accurately predicted, preventive maintenance can be scheduled in advance in order to avoid critical failures. The purpose of this paper is to research the TBF using deep learning techniques. Deep learning, as a tool capable of capturing the highly complex and nonlinearly patterns, can be a useful tool for TBF prediction. The general principle of how to design deep learning model was introduced. By using a sizeable amount of automobile TBF dataset, we conduct an experiential study on TBF prediction by deep learning and several data mining approaches. The empirical results show the merits of deep learning in performance but comes with cost of high computational load.

The illusion of capitalism in contemporary Sub‐Saharan Africa: a case study of the Gambia

foresight ◽  
2011 ◽  
Vol 13 (3) ◽  
pp. 50-63 ◽  
Author(s):  
Abdoulie Sallah ◽  
Colin C. Williams
Keyword(s):  
The Gambia ◽  
Sub Saharan Africa ◽  
Sub Saharan
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