Integration of Neural Networks and Expert Systems in MachineDiagnosis
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The Carnegie Group plans to train simple artificial neural                      networks to recognize fans and motors which are functioning poorly              or about to fail, based on the sounds produced by those motors.                 In effect, they plan to automate the ability of master engineers                to tell that something is wrong from the sound.  They plan to link              this capability to their existing automotive diagnosis system, a                large-scale expert system related to the Service Bay Diagnostic                 System of Ford Motor Company.  Such integration of expert systems               and artificial neural networks could have substantial implications              for quality control and preventive maintenance in the automobile                industry.
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{'Code': '5371', 'Text': 'SBIR Phase I'}
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