A diagnostic expert system for aircraft generator control unit (GCU)

Author(s):  
T.-L. Ho ◽  
R.A. Bayles ◽  
B.L. Havlicsek
Keyword(s):  
2012 ◽  
Vol 184-185 ◽  
pp. 1578-1583
Author(s):  
Zhao Hai Wang ◽  
Bing Hua Huang

The authors have researched on the communication protocols and the diagnostic modes used by the second generation of On-Board-Diagnosis (OBD-II) system and put forward a project scheme of automotive fault real-time alarming system based on OBD-II system. The Total Control Unit (TCU) of the alarming system, the signal conversion module between TCU and OBD-II system, the preliminary expert system of automotive fault diagnosis, LCD display system and phonic broadcast system have been developed. Test results on sample machines prove that the alarming system can successfully acquires data stream & trouble codes from automotive electronic control unit, so the expert system can comprehensively analyze potential fault causes and provide the driver with solutions. The fault causes and solutions can be displayed on LCD and converted into voice by text-to-speech module. The wide spread of the alarming system would effectively reduce the costs of vehicle operation and maintenance and greatly improve the vehicle road safety.


Author(s):  
David C. T. Tai ◽  
Shu-hui Wu ◽  
Jacob J. G. Chen

Abstract Numerical Control (NC) machining is an important process for modern automation. Lots of Computer-aided Manufacturing (CAM) systems are widely used in NC machining. Most of these kinds of software are able to generate the NC codes automatically and import these codes to the control unit of a NC machine center. Parameter setting for generating the NC codes is the key procedure for post process of the CAM system. The paper employs Java language to develop an expert system delivered via the web. Java-swing components in Java Foundation Class (JFC) are used for designing the query interface and displaying the query results. Some critical query information such as working material, cutting tool material and tool diameter is imported to the system. Two critical expertise parameters, tool spindle speed and feed rate, for post process of a computer-aided manufacturing system which generates the NC codes will be provided.


Author(s):  
N.S. Allen ◽  
R.D. Allen

Various methods of video-enhanced microscopy combine TV cameras with light microscopes creating images with improved resolution, contrast and visibility of fine detail, which can be recorded rapidly and relatively inexpensively. The AVEC (Allen Video-enhanced Contrast) method avoids polarizing rectifiers, since the microscope is operated at retardations of λ/9- λ/4, where no anomaly is seen in the Airy diffraction pattern. The iris diaphram is opened fully to match the numerical aperture of the condenser to that of the objective. Under these conditions, no image can be realized either by eye or photographically. Yet the image becomes visible using the Hamamatsu C-1000-01 binary camera, if the camera control unit is equipped with variable gain control and an offset knob (which sets a clamp voltage of a D.C. restoration circuit). The theoretical basis for these improvements has been described.


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