Kernel-based method for detecting boiler tube leaks
First Claim
1. A method of diagnosing faults in a monitored system, the monitored system being monitored by sensors, comprising:
- constructing an empirical model for a targeted component of the monitored system, wherein the empirical model is trained with a historical data source that contains example observations of the sensors;
generating substantially real-time estimates based on instrumented data corresponding to the targeted component;
comparing and differencing the substantially real-time estimates with instrumented readings from the sensors in the form of input observations to provide residual values;
analyzing the residual values to detect the faults and determine a location of the faults in the monitored system; and
adapting, by a processor, the empirical model with input observations indicating normal operation of the monitored system only after a predetermined time period from acquiring each such input observation.
1 Assignment
0 Petitions
Accused Products
Abstract
A method and apparatus are provided for diagnosing faults in a monitored system that is monitored by sensors. An empirical model is generated for a targeted component of the monitored system. The empirical model is trained with an historical data source that contains example observations of the sensors. Substantially real-time estimates are generated based on instrumented data corresponding to the targeted component. The substantially real-time estimates are compared and differenced with instrumented readings from the sensors to provide residual values. The residual values are analyzed to detect the faults and determine a location of the faults in the monitored system.
451 Citations
36 Claims
-
1. A method of diagnosing faults in a monitored system, the monitored system being monitored by sensors, comprising:
-
constructing an empirical model for a targeted component of the monitored system, wherein the empirical model is trained with a historical data source that contains example observations of the sensors; generating substantially real-time estimates based on instrumented data corresponding to the targeted component; comparing and differencing the substantially real-time estimates with instrumented readings from the sensors in the form of input observations to provide residual values; analyzing the residual values to detect the faults and determine a location of the faults in the monitored system; and adapting, by a processor, the empirical model with input observations indicating normal operation of the monitored system only after a predetermined time period from acquiring each such input observation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
-
-
16. A monitoring apparatus for diagnosing faults in a system monitored by sensors, comprising:
-
a reference data store containing instrumented data corresponding to a targeted component of the system; a processor to construct an empirical model for a targeted component of the monitored system, wherein the empirical model is trained with a historical data source that contains example observations of the sensors; generate substantially real-time estimates based on the instrumented data corresponding to the targeted component; compare and difference the substantially real-time estimates with instrumented readings from the sensors in the form of input observations to provide residual values; analyze the residual values to detect the faults and determine a location of the faults in the monitored system; and adapt the empirical model with input observations indicating normal operation of the system only after a predetermined time period from acquiring each such input observation. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
-
-
27. A method for characterizing tube leak faults in a monitored system, comprising:
-
collecting historical sensor data for a targeted component of the monitored system; producing residual signals that are correlative of given tube leak fault types in the targeted component; analyzing the residual signals to generate residual signal signatures according to at least one predetermined analysis algorithm; collecting the residual signal signatures in a database of time-varying measurements; analyzing, by a processor, the database of residual signal signatures according to at least one predetermined classification algorithm to characterize salient features of the residual signal signatures relating to the given tube leak fault types, and determining the location of a tube leak at a particular tube by providing, on a visual interface, a graphical display of a representation of the physical location of tubes within the targeted component and indicating residual values at a representation of the physical location of sensors corresponding to the residual values and on the display, the sensors being disposed and arranged to measure the temperature at a plurality of locations near different tubes located within the targeted component. - View Dependent Claims (28, 29, 30, 31)
-
-
32. A method of monitoring a system, comprising:
-
collecting historical sensor data for a component of the monitored system; generating estimate values by using the historical sensor data; producing residual values that indicate a difference between the estimate values and current input values; analyzing the residual values to determine if a particular type of fault exists; and determining the location of the part on the system that caused the fault by providing a graphical display, on a visual interface, of a representation of the physical location of the parts of the system being monitored, and a representation of residual values at a moment in time and on the graphical display, each residual value being represented at the physical location of a sensor on the display and corresponding to the residual value. - View Dependent Claims (33, 34, 35, 36)
-
Specification