A probabilistic associative memory and its application to signal processing in electrical power systems

Abstract This paper presents a new associative memory model. Its development is a consequence of work on a new framework (using pattern-analysis techniques) for solving data-acquisition and processing problems in power systems. The proposed probabilistic associative memory is compared with other associative memory models (particularly the ones suitable for massively parallel implementations, such as artificial neural networks) for the solution of the observability analysis and bad data processing tasks in power systems.

[1]  A.P. Alves da Silva,et al.  Neural networks for topology determination of power systems , 1991, Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.

[2]  N. Muller,et al.  A sparse eigenvalue-based approach for partitioning power networks , 1992 .

[3]  H.-J. Koglin,et al.  Bad data detection and identification , 1990 .

[4]  Andrew K. C. Wong,et al.  An event-covering method for effective probabilistic inference , 1987, Pattern Recognit..

[5]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[6]  BART KOSKO,et al.  Bidirectional associative memories , 1988, IEEE Trans. Syst. Man Cybern..

[7]  Amir F. Atiya,et al.  A Method for the Associative Storage of Analog Vectors , 1989, NIPS.

[8]  Teuvo Kohonen.  Optimal Associative Mappings , 1988 .

[9]  Grantham K. H. Pang,et al.  Solving data acquisition and processing problems in power systems using a pattern analysis approach , 1991 .

[10]  T. E. Dy Liacco,et al.  The role and implementation of state estimation in an energy management system , 1990 .

[11]  G. Krumpholz,et al.  Power System State Estimation Residual Analysis: An Algorithm Using Network Topology , 1981, IEEE Transactions on Power Apparatus and Systems.

[12]  Andrew K. C. Wong,et al.  Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.