2016
DOI: 10.2507/26th.daaam.proceedings.090
|View full text |Cite
|
Sign up to set email alerts
|

Troubleshooting Process Analysis and Development of Application for Decision Making Enhancement

Abstract: Troubleshooting process is often used to diagnose the cause of failed products in the production systems. This method is employed to repair rejected products and to find root causes of problems so that failed products can be usable again. Troubleshooting is one of the most important ways of identifying symptoms of specific problem in a product and also helps to provide remedial action regarding the causes of those symptoms. This research aims to analyze a troubleshooting process and provide enhancement in deci… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 6 publications
0
3
0
Order By: Relevance
“…• Analysis of methods suitable for event identification • Analysis of possible scenarios • Analysis of pseudorandom numbers generators • Synthesis of acquired knowledge • Expert assessment of the suitability of the chosen method and subsequent algorithm correction • Design and development of SW toolapplications [8], [9], [10], [11].…”
Section: Procedures and Methodsmentioning
confidence: 99%
“…• Analysis of methods suitable for event identification • Analysis of possible scenarios • Analysis of pseudorandom numbers generators • Synthesis of acquired knowledge • Expert assessment of the suitability of the chosen method and subsequent algorithm correction • Design and development of SW toolapplications [8], [9], [10], [11].…”
Section: Procedures and Methodsmentioning
confidence: 99%
“…At the same time removing the cost and risk of the paperbased approach, the solution also enables to avoid specific defects through the using AR experience [12]. Future industry assembly work expects these key factors: higher quality and maintenance, faster and an efficient work, less rework, money and energy waste [13].…”
Section: Augmented Reality As An Emerging Technologymentioning
confidence: 99%
“…The main components of the machine vision system are camera, lighting, lenses, image sensor, image processing software and user interface. The lighting illuminates the objects to be seen so that they can be distinguished through the camera image [13]. Object visualization is based on image processing and computational intelligence based on neural networks, thereby improving AR and VR applications that define and design 3D virtual models.…”
Section: Role Of Machine Visionmentioning
confidence: 99%