A systematic approach to integrated fault diagnosis of flexible manufacturing systems

Hu, Wei; Starr, Andrew; Zhou, Zhongshi; Leung, A.Y.T.

doi:10.1016/s0890-6955(00)00016-x

Cited by 23 publications

(12 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such equipment in manufacturing is very dependent upon the trouble-free operation of all its parts [19]. When a fault occurs, it is critical to identify the reasons and causes as rapidly as possible and to take appropriate maintenance action.…”

Section: Dm For Zdmmentioning

confidence: 99%

Towards zero-defect manufacturing (ZDM)—a data mining approach

Wang

2013

Adv. Manuf.

119

View full text Add to dashboard Cite

The quality of a product is dependent on both facilities/equipment and manufacturing processes. Any error or disorder in facilities and processes can cause a catastrophic failure. To avoid such failures, a zero-defect manufacturing (ZDM) system is necessary in order to increase the reliability and safety of manufacturing systems and reach zero-defect quality of products. One of the major challenges for ZDM is the analysis of massive raw datasets. This type of analysis needs an automated and self-organized decision making system. Data mining (DM) is an effective methodology for discovering interesting knowledge within a huge datasets. It plays an important role in developing a ZDM system. The paper presents a general framework of ZDM and explains how to apply DM approaches to manufacture the products with zero-defect. This paper also discusses 3 ongoing projects demonstrating the practice of using DM approaches for reaching the goal of ZDM.

show abstract

Section: Dm For Zdmmentioning

confidence: 99%

Towards zero-defect manufacturing (ZDM)—a data mining approach

Wang

2013

Adv. Manuf.

119

View full text Add to dashboard Cite

show abstract

“…Hu et al [8] propose that the process controller's signal and switches are important sources of data for fault diagnosis and isolation (FDI). Their diagnostic approach was based on digital and analogue parameter acquisition and an expert system.…”

Section: Monitoring Approachesmentioning

confidence: 99%

Distributed On-Line System for Process Plant Monitoring

Ahsan

Grosvenor

Prickett

2006

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

This paper describes a methodology for monitoring industrial processes and plant that can be implemented cost-effectively within small-to-medium enterprises. The methodology is based on a network of 8-bit microcontrollers that communicate with each other on a controller area network bus. Ethernet connectivity is provided so that remote users can access the system on the internet. The software models developed for data acquisition nodes and the design of remote user interfaces and supervisory nodes are also explained. The system is aimed at providing specific maintenance guidance and fault identification, rather than gathering data for off-line analysis. Overly complicated processing is avoided to make real-time implementation possible, using 8-bit microcontrollers. The methodology emphasizes the use of process controller signals for fault detection and sensor signals for fault isolation. The suitability of the methodology is explored by acquiring signals from a laboratory-based process rig. Suitable monitoring techniques for the system in time and frequency domains are also discussed.

show abstract

“…Some research works have been directed towards developing field failure database and failure models for CNC machines. 7–11 Although the model has been used successfully in solving some practical issues, the operational failure in the manufacturing systems still remains a challenging issue. A hierarchical fault diagnosis model 12 for diagnosing operational faults of an FMS was developed based on fault tree analysis (FTA).…”

Section: Introductionmentioning

confidence: 99%

Reliability enhancement of manufacturing systems through functions

Loganathan

Gandhi

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

A reliable system means being able to perform its intended functions. Therefore, ensuring performing of its required functions will help to enhance its reliability. For a manufacturing system (e.g. computer numerical control machines), there are a large number of functions, which complicate and make analysis difficult. In this article, a logical and systems approach of graph theory, which is effective to eliminate such difficulties, is employed. The graph theoretic models do consider the system structure explicitly and are applied to model functions at various hierarchical levels of a manufacturing system. These function digraph models are analysed using matrix approach to examine the cause and effect, which helps to evaluate importance of the function and hence provide direction for system reliability enhancement. A step-by-step methodology is presented, which is illustrated by an example of manufacturing system: computer numerical control drilling machine.

show abstract

A systematic approach to integrated fault diagnosis of flexible manufacturing systems

Cited by 23 publications

References 12 publications

Towards zero-defect manufacturing (ZDM)—a data mining approach

Towards zero-defect manufacturing (ZDM)—a data mining approach

Distributed On-Line System for Process Plant Monitoring

Reliability enhancement of manufacturing systems through functions

Contact Info

Product

Resources

About