Method and system for condition monitoring
First Claim
1. A method for use in monitoring a condition of an apparatus comprising at least one of an industrial plant, an industrial line, machinery, equipment, a power plant, an apparatus configured for power generation, a turbine or a generator, or for use in monitoring a condition of a process comprising at least one of an industrial process, a process for manufacture of a product, a process for manufacture of a commodity, a process for generation of power or a process for generation of electricity, the method comprising:
- using a plurality of sensors to measure a plurality of empirical variables associated with the apparatus or process and thereby provide a plurality of historical data vectors, each historical data vector of the plurality of historical data vectors comprising a scalar value for each empirical variable of the plurality of empirical variables;
using the plurality of sensors to measure the plurality of empirical variables associated with the apparatus or process and thereby provide a current data vector comprising a current scalar value for each empirical variable of the plurality of empirical variables;
determining a plurality of scalar distance values, each scalar distance value of the plurality of scalar distance values being determined from the current data vector and a different one of the plurality of historical data vectors;
identifying a minimum one of the determined plurality of scalar distance values;
identifying a historical data vector among the plurality of historical data vectors corresponding to the minimum one of the determined plurality of scalar distance values as a closest historical data vector;
determining a vector of scalar residual values from the current data vector and the closest historical data vector, wherein each scalar residual value among the vector of scalar residual values is determined by subtraction of a current scalar value of the current data vector corresponding to a particular empirical variable among the plurality of empirical variables and a scalar value of the closest historical data vector which corresponds to the particular empirical variable;
comparing each respective scalar residual values of the vector of scalar residual values to a corresponding scalar residual range among a plurality of scalar residual ranges;
raising or recording a corresponding alarm when the respective scalar residual value lies outside the corresponding scalar residual range; and
reconfiguring the apparatus or process depending on a result of the comparing.
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Abstract
The method may include providing a plurality of historical data vectors, each historical data vector including a value for each of a plurality of empirical variables associated with an apparatus or process. The method may include providing a current data vector including a current value for each of the plurality of empirical variables. The method may include determining a plurality of distance values, each distance value being determined from the current data vector and a different one of the historical data vectors and identifying a minimum distance value from the determined plurality of distance values. The method may include using the identified minimum distance value to determine a condition of the apparatus or process.
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Citations
31 Claims
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1. A method for use in monitoring a condition of an apparatus comprising at least one of an industrial plant, an industrial line, machinery, equipment, a power plant, an apparatus configured for power generation, a turbine or a generator, or for use in monitoring a condition of a process comprising at least one of an industrial process, a process for manufacture of a product, a process for manufacture of a commodity, a process for generation of power or a process for generation of electricity, the method comprising:
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using a plurality of sensors to measure a plurality of empirical variables associated with the apparatus or process and thereby provide a plurality of historical data vectors, each historical data vector of the plurality of historical data vectors comprising a scalar value for each empirical variable of the plurality of empirical variables; using the plurality of sensors to measure the plurality of empirical variables associated with the apparatus or process and thereby provide a current data vector comprising a current scalar value for each empirical variable of the plurality of empirical variables; determining a plurality of scalar distance values, each scalar distance value of the plurality of scalar distance values being determined from the current data vector and a different one of the plurality of historical data vectors; identifying a minimum one of the determined plurality of scalar distance values; identifying a historical data vector among the plurality of historical data vectors corresponding to the minimum one of the determined plurality of scalar distance values as a closest historical data vector; determining a vector of scalar residual values from the current data vector and the closest historical data vector, wherein each scalar residual value among the vector of scalar residual values is determined by subtraction of a current scalar value of the current data vector corresponding to a particular empirical variable among the plurality of empirical variables and a scalar value of the closest historical data vector which corresponds to the particular empirical variable; comparing each respective scalar residual values of the vector of scalar residual values to a corresponding scalar residual range among a plurality of scalar residual ranges; raising or recording a corresponding alarm when the respective scalar residual value lies outside the corresponding scalar residual range; and reconfiguring the apparatus or process depending on a result of the comparing. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31)
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29. A monitoring apparatus for use in monitoring a condition of a monitored apparatus or process, the monitored apparatus comprising at least one of an industrial plant, an industrial line, machinery, equipment, a power plant, an apparatus configured for power generation, a turbine or a generator, and the monitored process comprising at least one of an industrial process, a process for manufacture of a product, a process for manufacture of a commodity, a process for generation of power or a process for generation of electricity, and the monitoring apparatus comprising:
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a plurality of sensors for measuring a plurality of empirical variables associated with the monitored apparatus or process to thereby provide a plurality of historical data vectors, each historical data vector of the plurality of historical data vectors comprising a scalar value for each empirical variable of the plurality of empirical variables, and to thereby provide a current data vector comprising a current scalar value for each empirical variable of the plurality of empirical variables; at least one processor; and a memory, wherein the memory stores instructions which, when executed by the at least one processor, cause the monitoring apparatus to, determine a plurality of scalar distance values, each scalar distance value of the plurality of scalar distance values being determined from the current data vector and a different one of the plurality of historical data vectors, identify a minimum one of the determined plurality of scalar distance values, identify a historical data vector among the plurality of historical data vectors corresponding to the minimum one of the determined plurality of scalar distance values as a closest historical data vector, determine a vector of scalar residual values from the current data vector and the closest historical data vector, wherein each scalar residual value among the vector of scalar residual values is determined by subtraction of a current scalar value of the current data vector corresponding to a particular empirical variable among the plurality of empirical variables and a scalar value of the closest historical data vector which corresponds to the particular empirical variable, compare each respective scalar residual values of the vector of scalar residual values to a corresponding scalar residual range among a plurality of scalar residual ranges, raise or record a corresponding alarm when the respective scalar residual value lies outside the corresponding scalar residual range, and reconfigure the monitored apparatus or process depending on a result of the comparison.
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Specification