Virtual manufacturing for press line monitoring and diagnostics

Diagnostics for Monitoring Maintenance and Quality Manufacturing

Technical Monitoring and Diagnostics: Indispensable Element of Intelligent Manufacturing Systems

The application of pattern recognition techniques, expert systems, artificial neural networks, fuzzy systems and nowadays hybrid artificial intelligence techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. The paper outlines the most important steps of this process. Agent-based systems are highlighted as promising tools for managing complexit...

Self-Starting Control Chart and Post Signal Diagnostics for Monitoring Project Earned Value Management Indices

Earned value management (EVM) is a well-known approach in a project control system which uses some indices to track schedule and cost performance of a project. In this paper, a new statistical framework based on self-starting monitoring and change point estimation is proposed to monitor correlated EVM indices which are usually auto-correlated over time and non-normally distributed. Also, a new ...

Virtual Factory Integrated Manufacturing System for Process Simulation and Monitoring

A virtual factory integrated manufacturing system combined with system simulation and virtual reality is introduced in this paper. We describe the system architecture and development methodology, provide the working principle of process simulation and monitoring in virtual factory, and then explain the detailed applications of virtual factory integrated manufacturing system. With the visualizat...

Intelligent on-line transformer monitoring, diagnostics, and decision making

The failure of a large power transformer is an area of significant concern since it can result in millions of dollars in costs as well as a possible interruption of power. Therefore, it is desirable to detect the existence of abnormal or anomalous changes in the transformer's internal condition which could indicate an incipient failure. This thesis proposes and tests an anomaly detection scheme...