By Marcello Chiaberge (Ed)
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Additional resources for New Trends and Developments in Automotive Industry
Whenever any gross scan measurement exceeds the alert value, it is first registered in the database, then it is updated for the DCS, and finally, the related spectrum and time signal are recorded as alarm related data for the specific sensor. Monitoring and Fault Diagnosis in Manufacturing Processes in the Automotive Industry 43 Spectrum: They are calculated from a related time signal and further processed in order to get specific information at certain frequencies associated with the potential defects of the machine being monitored.
After calculating transformation matrices for both cameras, derived from the exact set up of the camera positions, the transformation equations for each marker image can be constructed, resulting in an equation system that can be solved by a "least square"-method. A disadvantage of this direct method is that normally the camera positions are not known very exactly. Especially the direction of the optical axis of the cameras and the rotation about this axis can only be measured approximately. In this case a different approach can be used; see figure 18.
This predictive maintenance system is based on mechanical vibrations analysis techniques applied on the motor-fan sets operating in painting cabinets. The predictive maintenance for this kind of installations can be performed in two ways. With online analysis systems or with hand-held, walk-around vibration analyzers. For Monitoring and Fault Diagnosis in Manufacturing Processes in the Automotive Industry 41 extremely large operations and/or very expensive equipment, the first approach is the most cost effective and has repeatedly shown to saving money.