Online valve diagnostic monitoring system

Claim 2

An online valve diagnostic system for diagnosing improper operation of a valve, comprising: sensors, each sensor simultaneously sensing a different operational characteristic of the valve, to produce corresponding sensor signals; data acquisition means for transmitting the sensor signals; processing means for processing the sensor signals to produce processed signals, said processing means including sensor signal processing means for comparing each of the sensor signals with corresponding baseline data to determine deviation therefrom in response to sensing of the operational characteristic and outputting the deviation as one of the processed signals; and diagnosis means for comparing the processed signals with rules defining correspondence between known deviations and combinations of deviations and causes thereof to produce a diagnosis of the valve; and output means for outputting the diagnosis of the valve.

Claim 3

An online valve diagnostic system as recited in claim 1, wherein said processing means further comprises analysis means for analyzing the diagnosis of the valve to provide a maintenance scheduling recommendation.

Claim 4

An online valve diagnostic system as recited in claim 2, wherein said analysis means comprises trend analysis means for detecting a trend in changes in the sensor signals, and wherein said output means provides an immediate indication when said diagnosis means diagnoses a valve malfunction and also outputs at least one of the trend and the scheduling recommendation upon at least one of a request and a scheduled basis.

Claim 5

An online valve diagnostic system as recited in claim 1, wherein said diagnosis means compares the processed signals to establish a confidence factor for the diagnosis of the valve.

Claim 6

An online valve diagnostic system as recited in claim 4, Wherein the valve includes a valve stem for providing physical movement in the valve, and wherein said sensors comprise: power sensing means for providing an indication of power used by the valve; and stem strain sensing means for directly sensing tension and compression of the valve stem.

Claim 7

An online valve diagnostic system as recited in claim 5, wherein said sensors further comprise position sensing means for directly sensing a position of the valve stem.

Claim 8

An online valve diagnostic system as recited in claim 5, wherein the valve is a motor operated valve, and wherein said power sensing means comprises a current sensor operatively connected to said data acquisition means, for sensing motor current.

Claim 9

An online valve diagnostic system as recited in claim 7, wherein said processing means further comprises timing means for providing timing of the sensor signals, wherein said sensors further comprise position sensing means for sensing a position of the valve stem, and wherein the processed signals include representations of motor current during movement, valve stem speed as change in the position of the valve stem versus time and stem strain during movement of the valve stem.

Claim 10

An online valve diagnostic system as recited in claim 8, wherein said diagnosis means provides a diagnosis of galling into the body of the valve if the motor current is increasing and the closing drag is increasing.

Claim 11

An online plant operation monitoring system for monitoring operational units in a plant, comprising: sensor means for continuously sensing conditions of the operational units in the plant to produce sensor signals; data storage means for storing baseline data and historical data for each of the operational units; data acquisition means for transmitting the sensor signals; extraction means for extracting characteristic features of each of the operational units from the sensor signals corresponding thereto by comparing the sensor signals with the baseline data to determine deviations therefrom in proportion to the baseline data, whereby the characteristic features are dimensionless; and diagnosis means for evaluating the characteristic features by application of an expert system rule base.

Claim 12

An online plant operation monitoring system for monitoring operational units in a plant, comprising: sensor means for continuously sensing conditions of the operational units in the plant to produce sensor signals; data storage means for storing baseline data and historical data for each of the operational units; data acquisition means for transmitting the sensor signals; extraction means for extracting characteristic features of each of the operational units from the sensor signals corresponding thereto by comparing the sensor signals with the baseline data to determine deviations therefrom in proportion to the baseline data, whereby the characteristic features are dimensionless; and diagnosis means for evaluating the characteristic features by application of an expert system rule base.

Claim 13

An online plant operation monitoring system as recited in claim 10, wherein said extraction means further provides a deviation significance indication for each of the characteristic features, dependent upon the magnitude of the deviations between the sensor signals and the baseline data corresponding thereto.

Claim 14

An online plant operation monitoring system as recited in claim 11, wherein said diagnosis means further applies the expert system rule base to the characteristic features extracted for a corresponding operational unit to determine a confidence factor for the diagnosis of the corresponding operational unit.

Claim 15

An online plant operation monitoring system as recited in claim 12, wherein the operational units are valves.

Claim 16

An online plant operation monitoring system as recited in claim 10, further comprising means for updating the baseline data stored in said data storage means in response to maintenance performed on one of the operational units.

Claim 17

An online plant operation monitoring system as recited in claim 13, wherein said diagnosis means comprises means for modifying the expert system rule base without requiring modification of how the deviations are determined by said extraction means.

Claim 18

An online plant operation monitoring system as recited in claim 10, wherein said diagnosis means further applies the expert system rule base to all of the characteristic features extracted for a corresponding operational unit to determine a confidence factor for the diagnosis of the corresponding operational unit.

Claim 19

An online plant operation monitoring system as recited in claim 10, wherein the operational units are valves.

Claim 20

An online valve monitoring system for monitoring valves in a piping system, the valves having a valve stem actuated by a motor, said valve monitoring system comprising: sensors for outputting sensor signals, each of the valves having at least three sensors corresponding thereto, the at least three sensors comprising: a motor current sensor for detecting current drawn by the motor operating a corresponding valve; a strain sensor, directly coupled to the valve stem, for sensing strain of the valve stem of the corresponding valve; and a position sensor, coupled to the valve stem, for sensing a position of the valve stem of the corresponding valve; data acquisition means for transmitting the sensor signals from the valves to a remote location; timing means for storing baseline data and historical data for each of the valves; signal processing means for extracting characteristic features of the sensor signals from each of the valves by comparing the sensor signals with the baseline data to determine deviations therefrom in proportion to the baseline data, whereby the characteristic features are dimensionless, and for providing a deviation significance indication for each of the characteristic features in dependence upon the magnitude of the deviations between the sensor signals and the baseline data corresponding thereto; diagnosis means for evaluating the characteristic features by application of an expert system rule base to provide a diagnosis of a malfunction capable of causing the deviations between the baseline data and the sensor signals corresponding thereto, for each valve and comparing the deviations corresponding to each valve to determine a confidence factor for the diagnosis thereof; analysis means for analyzing the historical data to detect a trend in changes in the sensor signals and for providing maintenance scheduling recommendations; output means for providing an immediate indication when said diagnosis means diagnoses the malfunction of one of the valves and for outputting at least one of the trend and the scheduling recommendations upon at least one of a request and a scheduled basis; and updating means for updating the baseline data after maintenance of one of the valves without affecting the expert system rule base and for updating the expert system rule base without requiring changes in the processing of the sensor signals.

Claim 21

An online valve monitoring system for monitoring valves in a piping system, the valves having a valve stem actuated by a motor, said valve monitoring system comprising: sensors for outputting sensor signals, each of the valves having at least three sensors corresponding thereto, the at least three sensors comprising: a motor current sensor for detecting current drawn by the motor operating a corresponding valve; a strain sensor, directly coupled to the valve stem, for sensing strain of the valve stem of the corresponding valve; and a position sensor, coupled to the valve stem, for sensing a position of the valve stem of the corresponding valve; data acquisition means for transmitting the sensor signals from the valves to a remote location; timing means for storing baseline data and historical data for each of the valves; signal processing means for extracting characteristic features of the sensor signals from each of the valves by comparing the sensor signals with the baseline data to determine deviations therefrom in proportion to the baseline data, whereby the characteristic features are dimensionless, and for providing a deviation significance indication for each of the characteristic features in dependence upon the magnitude of the deviations between the sensor signals and the baseline data corresponding thereto; diagnosis means for evaluating the characteristic features by application of an expert system rule base to provide a diagnosis of a malfunction capable of causing the deviations between the baseline data and the sensor signals corresponding thereto, for each valve and comparing the deviations corresponding to each valve to determine a confidence factor for the diagnosis thereof; analysis means for analyzing the historical data to detect a trend in changes in the sensor signals and for providing maintenance scheduling recommendations; output means for providing an immediate indication when said diagnosis means diagnoses the malfunction of one of the valves and for outputting at least one of the trend and the scheduling recommendations upon at least one of a request and a scheduled basis; and updating means for updating the baseline data after maintenance of one of the valves without affecting the expert system rule base and for updating the expert system rule base without requiring changes in the processing of the sensor signals.

Claim 22

An online valve monitoring system as recited in claim 18, wherein said data acquisition means comprises means for transmitting the sensor signals simultaneously, using frequency multiplexing.