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Application of the method of potential functions to fault diagnosis

Application of the method of potential functions to fault diagnosis

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A new technique for estimating parameter drift, based on the method of potential functions, is suggested. When one of the parameters has a very much larger drift than the others, thus constituting a fault, it has been found possible to isolate this parameter as the one with the largest estimated drift, even though the sensitivity functions associated with the parameters are not orthogonal.

References

    1. 1)
      • Aiserman, M.A., Braverman, E.M., Rozonoer, L.I.: `Potential functions technique and extrapolation in learning systems theory', 3rd IFAC Conference, 21 June 1966, London.
    2. 2)
      • K.S. Fu . (1968) , Sequential methods in pattern recognition and machine learning.
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