Abb Inc.

Elsag International B.v.

Donald K Frerichs

Frank Marvin Toth

Roman P Chaws

Marion A Keyes, Iv

Azmi Kaya

Steven James Johnson

A method and apparatus for detecting mechanical problems in machinery used in a process. A model of the process is developed using a modeling technique such as advanced pattern recognition and the model is used to generate predicted values for a predetermined number of the operating parameters of the process and vibration parameters of the machinery. Statistical process control methods are used to determine if the difference between the predicted and actual measured values for one or more of the parameters exceeds a configured statistical limit. A rule set is used to indicate an actual or probable fault in the machinery.

Method and apparatus to diagnose mechanical problems in machinery

A method and apparatus and for detecting faults in components of a continuous process such as a steam generator. A model of the process is developed using a modeling technique such as advanced pattern recognition and the model is used to generate predicted values for a predetermined number of the operating parameters of the process. Statistical process control methods are used to determine if the difference between the predicted and actual measured values for one or more of the parameters exceeds a configured statistical limit. A rule set is used to indicate an actual or probable fault in a component of the continuous process.

Method and apparatus for detecting faults in steam generator system components and other continuous processes

A preferred process for evaluating the performance of a process control system comprises generating a first set of data comprising a plurality of measurements of a first parameter controlled by the process control system and generating a second set of data comprising a plurality of measurements of a second parameter controlled by the process control system. A preferred process also comprises calculating a first statistical index from the first set of data using a statistical process control method, calculating a second statistical index from the second set of data using the statistical process control method, and combining the first and second statistical indices to produce a performance index representative of the performance of the process control system at controlling the first and second parameters.

Process and device for evaluating the performance of a process control system

A neural network control based on a general multi-variable nonlinear dynamic model incorporating time delays is disclosed. The inverse dynamics of the process being controlled is learned represented by a multi-layer neural network which is used as a feedforward control to achieve a specified closed loop response under varying conditions. The weights between the layers in the neural network are adjusted during the learning process. The learning process is based on minimizing the combined error between the desired process value and the actual process output and the error between the desired process value and the inverse process neural network output.

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Shaker Heights, OH, United States of America

Donald K Frerichs