Methods systems and apparatus for analyzing complex systems via prognostic reasoning
First Claim
1. A method for analyzing a complex system comprising a number of subsystems, wherein each subsystem comprises at least one sensor designed to generate sensor data, the method comprising:
- processing sensor data from at least one of the sensors to generate binary evidence of a sensed event;
processing sensor data from at least one of the sensors to generate complex evidence of a sensed event, wherein the complex evidence has more sophisticated mathematical properties than the binary evidence, wherein the complex evidence comprises at least one of;
a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI);
providing a system fault model (SFM) that defines statistical relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that is occurring in the complex system;
processing via a processer the binary evidence and the complex evidence to identify failure modes taking place within one or more of the subsystems; and
generating, based on the binary evidence and the complex evidence and the SFM, diagnostic conclusions regarding adverse events that are taking place within the complex system, and prognostic conclusions regarding adverse events that are predicted to take place within the complex system.
1 Assignment
0 Petitions
Accused Products
Abstract
Methods and apparatus are provided for analyzing a complex system that includes a number of subsystems. Each subsystem comprises at least one sensor designed to generate sensor data. Sensor data from at least one of the sensors is processed to generate binary evidence of a sensed event, and complex evidence of a sensed event. The complex evidence has more sophisticated mathematical properties than the binary evidence. The complex evidence comprises one or more of: a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI). A system fault model (SFM) is provided that defines statistical relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that is occurring in the complex system. The binary evidence and the complex evidence are processed to identify failure modes taking place within one or more of the subsystems. Based on the binary evidence and the complex evidence and the SFM, diagnostic conclusions can be generated regarding adverse events that are taking place within the complex system, and prognostic conclusions can be generated regarding adverse events that are predicted to take place within the complex system.
-
Citations
20 Claims
-
1. A method for analyzing a complex system comprising a number of subsystems, wherein each subsystem comprises at least one sensor designed to generate sensor data, the method comprising:
-
processing sensor data from at least one of the sensors to generate binary evidence of a sensed event; processing sensor data from at least one of the sensors to generate complex evidence of a sensed event, wherein the complex evidence has more sophisticated mathematical properties than the binary evidence, wherein the complex evidence comprises at least one of;
a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI);providing a system fault model (SFM) that defines statistical relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that is occurring in the complex system; processing via a processer the binary evidence and the complex evidence to identify failure modes taking place within one or more of the subsystems; and generating, based on the binary evidence and the complex evidence and the SFM, diagnostic conclusions regarding adverse events that are taking place within the complex system, and prognostic conclusions regarding adverse events that are predicted to take place within the complex system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
-
-
14. A system, comprising:
-
a complex system comprising a number of subsystems each having at least one sensor designed to generate sensor data; and an analysis system, comprising; a simple diagnostic and prognostic monitor (SDPM) being designed to process sensor data from at least one of the sensors and generate binary evidence of a sensed event; an advanced diagnostic and prognostic monitor (ADPM) being designed to process sensor data from at least one of the sensors and generate at least one form of complex evidence of a sensed event, wherein the complex evidence comprises at least one of;
a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI); anda maintenance computer (MC), communicatively coupled to the SDPM and the ADPM, and comprising; an advanced diagnostics and prognostics reasoner (ADPR) module designed to process the binary evidence and the complex evidence to identify failure modes taking place within one or more of the subsystems of the complex system, wherein the ADPR module comprises; a system fault model (SFM) that defines probabilistic relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that that is occurring in the complex system; a diagnostic processing module (DPM) designed to generate, based on the binary evidence and the complex evidence and the SFM, diagnostic conclusions regarding adverse events that are taking place within the complex system; and a prognostic processing module (PPM) designed to generate, based on the binary evidence and the complex evidence and the SFM, prognostic conclusions regarding adverse events that are predicted to take place within the complex system. - View Dependent Claims (15, 16, 17, 18, 19)
-
-
20. A system, comprising:
-
a vehicle comprising a number of subsystems each having at least one sensor designed to generate sensor data; and an Integrated Vehicle Health Management (IVHM) system, comprising; a plurality of simple diagnostic and prognostic monitors (SDPMs) each being designed to process sensor data from at least one of the sensors and generate binary evidence of a sensed event; a plurality of advanced diagnostic and prognostic monitors (ADPMs) each being designed to process sensor data from at least one of the sensors and generate at least one form of complex evidence of a sensed event, wherein the complex evidence comprises at least one of;
a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI); andan advanced diagnostics and prognostics reasoner (ADPR) module designed to;
process the binary evidence and the complex evidence based on a system fault model (SFM) that defines statistical relationships between binary evidence, complex evidence, and a failure mode (FM) that represents an underlying fault condition that is occurring in the vehicle;
identify adverse events taking place within one or more of the subsystems of the vehicle; and
generate, based on the binary evidence and the complex evidence and the SFM, diagnostic conclusions regarding adverse events that are taking place within the vehicle, and prognostic conclusions regarding adverse events that are predicted to take place within the vehicle.
-
Specification