Component based tele-diagnosis approach to a textile machine

Virtual manufacturing for press line monitoring and diagnostics

“…It is also not applicable to machine failures for which the error symptoms could not be repeated for observation. Video diagnosis systems and corresponding fast offline video transmission technologies can be seen as an enhancement to provide visual information to improve the analysis capability [42]. However, this incorporates high additional cost in installing and running the video systems; transferring the video data over the network is also very costly in terms of the bandwidth requirements and They provide users with increased flexibility and functions such as walkthrough and fly around that are impossible by using stationary video cameras [43].…”

Maintenance Decision-Making Support for Textile Machines: A Knowledge-Based Approach Using Fuzzy Logic and Vibration Monitoring

“…Cloppenburg et al [27] also highlighted the employment of sensor systems in developing condition monitoring of manufacturing machines for textiles. Wolfram and Isermann [28] described a method based on telediagnosis, which used advanced communication channels to monitor a textile machine for fault detection and diagnosis of its individual parts. Scarpellini et al [29] depicted a Webbased application to monitor the condition state of textile machines, which also provide the possibility of conducting the analysis of the collected data regarding their productivity and efficiency.…”

Detection and isolation of actuator failure for actively controlled railway wheelsets

“…Fault detection and isolation techniques have been widely studied, some of which are concerned with the detection of actuator failures in different industrial applications. For example, a neural network has been used to detect and diagnose the malfunction of a pneumatic actuator of a train door [7]; Wolfram and Isermann [8] demonstrated the use of parameter estimation for detecting the electro-mechanical actuator of a textile machine when the electrical part of an ac motor breaks down; and study in [9] used the Extend Kalman Filter (EKF) to detect pump pressure faults in an electrohydraulic actuation system. However, a literature review of the railway vehicle suggests that the majority of condition monitoring tasks are comprehensively considered as the fault identification in dynamic systems [10] such as conicity estimation [11], suspension failure [12], creep force [13] and creep coefficients [14].…”