Method and system for detecting symptoms and determining an optimal remedy pattern for a faulty device
First Claim
1. A method for optimizing symptom detection and performing an optimal remedy pattern for faulty device components, the method comprising:
- obtaining, by a computing device, control sample data for a device when the device is operating in a no-fault mode and sensor data for each of a plurality of the components of the device when the device is operating in a fault mode;
performing, by the computing device, an exploratory data analysis on the control sample data and the sensor data to generate optimized control sample data and sensor data;
generating, by the computing device, a multivariate probability distribution from the optimized sensor data, wherein one or more parameters of the multivariate probability distribution are estimated by a maximum-likelihood estimation technique;
detecting, by the computing device, one or more of a plurality of symptoms associated with one or more of the plurality of the components of the device based on a comparison of the optimized sensor data to the optimized control sample data using a likelihood ratio test and the multivariate probability distribution;
identifying, by the computing device, one or more of the plurality of components of the device that are potentially faulty based on the detected one or more of the plurality of symptoms;
performing, by the computing device, one or more tests on each of the one or more of the plurality of components that are potentially faulty to confirm that at least a subset of the one or more of the components that are potentially faulty is faulty and to determine a status of the device;
determining, by the computing device, an optimal remedy pattern for the subset of the one or more of the components based at least in part on historical data and cost data obtained from a database; and
performing, by the computing device, the optimal remedy pattern to remedy one of the subset of the one or more of the components.
0 Assignments
0 Petitions
Accused Products
Abstract
A method, non-transitory computer readable medium, and anomaly detection computing apparatus that detects one or more of a plurality of symptoms associated with a device when the device is operating in a fault mode. One or more of a plurality of components of the device that are potentially faulty are identified based on the detected symptoms. One or more tests are performed on each of the one or more of the components to confirm that at least a subset of the one or more of the components is faulty. An optimal remedy pattern is determined for the subset of the one or more of the components based at least in part on historical data and cost data obtained from a database, and the optimal remedy pattern is output.
29 Citations
18 Claims
-
1. A method for optimizing symptom detection and performing an optimal remedy pattern for faulty device components, the method comprising:
-
obtaining, by a computing device, control sample data for a device when the device is operating in a no-fault mode and sensor data for each of a plurality of the components of the device when the device is operating in a fault mode; performing, by the computing device, an exploratory data analysis on the control sample data and the sensor data to generate optimized control sample data and sensor data; generating, by the computing device, a multivariate probability distribution from the optimized sensor data, wherein one or more parameters of the multivariate probability distribution are estimated by a maximum-likelihood estimation technique; detecting, by the computing device, one or more of a plurality of symptoms associated with one or more of the plurality of the components of the device based on a comparison of the optimized sensor data to the optimized control sample data using a likelihood ratio test and the multivariate probability distribution; identifying, by the computing device, one or more of the plurality of components of the device that are potentially faulty based on the detected one or more of the plurality of symptoms; performing, by the computing device, one or more tests on each of the one or more of the plurality of components that are potentially faulty to confirm that at least a subset of the one or more of the components that are potentially faulty is faulty and to determine a status of the device; determining, by the computing device, an optimal remedy pattern for the subset of the one or more of the components based at least in part on historical data and cost data obtained from a database; and performing, by the computing device, the optimal remedy pattern to remedy one of the subset of the one or more of the components. - View Dependent Claims (2, 3, 4, 5, 6)
-
-
7. A non-transitory computer readable medium having stored thereon instructions for optimizing symptom detection and performing an optimal remedy pattern for faulty device components comprising executable code which when executed by a processor, causes the processor to perform steps comprising:
-
obtaining control sample data for a device when the device is operating in a no-fault mode and sensor data for each of a plurality of the components of the device when the device is operating in a fault mode; performing an exploratory data analysis on the control sample data and the sensor data to generate optimized control sample data and sensor data; generating a multivariate probability distribution from the optimized sensor data, wherein one or more parameters of the multivariate probability distribution are estimated by a maximum-likelihood estimation technique; detecting one or more of a plurality of symptoms associated with one or more of the plurality of the components of the device based on a comparison of the optimized sensor data to the optimized control sample data using a likelihood ratio test and the multivariate probability distribution; identifying one or more of the plurality of components of the device that are potentially faulty based on the detected one or more of the plurality of symptoms; performing one or more tests on each of the one or more of the plurality of components that are potentially faulty to confirm that at least a subset of the one or more of the components that are potentially faulty is faulty and to determine a status of the device; determining an optimal remedy pattern for the subset of the one or more of the components based at least in part on historical data and cost data obtained from a database; and performing the optimal remedy pattern to remedy one of the subset of the one or more of the components. - View Dependent Claims (8, 9, 10, 11, 12)
-
-
13. A symptom detection and analysis computing device, comprising at least one processor and a memory coupled to the processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to:
-
obtain control sample data for a device when the device is operating in a no-fault mode and sensor data for each of a plurality of the components of the device when the device is operating in a fault mode; perform an exploratory data analysis on the control sample data and the sensor data to generate optimized control sample data and sensor data; generate a multivariate probability distribution from the optimized sensor data, wherein one or more parameters of the multivariate probability distribution are estimated by a maximum-likelihood estimation technique; detect one or more of a plurality of symptoms associated with one or more of the plurality of the components of the device based on a comparison of the optimized sensor data to the optimized control sample data using a likelihood ratio test and the multivariate probability distribution; identify one or more of a plurality of components of the device that are potentially faulty based on the detected one or more of the plurality of symptoms; perform one or more tests on each of the one or more of the plurality of components that are potentially faulty to confirm that at least a subset of the one or more of the components that are potentially faulty is faulty and to determine a status of the device; determine an optimal remedy pattern for the subset of the one or more of the components based at least in part on historical data and cost data obtained from a database; and perform the optimal remedy pattern to remedy one of the subset of the one or more of the components. - View Dependent Claims (14, 15, 16, 17, 18)
-
Specification