Method and apparatus for detecting out-of-range conditions in power generation equipment operations
First Claim
1. A method for detecting out-of-range conditions in an apparatus having a monitoring system, said monitoring system storing a support vector machine feature space having a boundary substantially separating a first class of data from a second class of data, said method comprising:
- receiving an element of operational data from an independent sensor associated with said apparatus;
comparing said element of operational data to said boundary; and
if said element of operational data is within said second class of data, determining that said element of operational data represents an out-of-range condition for said apparatus.
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Accused Products
Abstract
A method and apparatus for detecting out-of-range conditions representing normal operations is disclosed. A support vector machine is used to generate an improved representation of historical training data from power generation equipment that facilitates a more accurate determination of the boundary between measurements that should be considered faults and those that represent normal operating conditions. The SVM receives data collected from a plurality of independent sensors associated with the power generating equipment in order to generate a boundary substantially separating a first class of data (e.g., a fault) from a second class of data (e.g., a normal operating condition) in a support vector machine feature space. Elements of operational data are collected and compared to the boundary generated from historical training data. A determination is then made whether the element of operational data is in a particular class, such as a class associated with out-of-range conditions.
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Citations
38 Claims
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1. A method for detecting out-of-range conditions in an apparatus having a monitoring system, said monitoring system storing a support vector machine feature space having a boundary substantially separating a first class of data from a second class of data, said method comprising:
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receiving an element of operational data from an independent sensor associated with said apparatus;
comparing said element of operational data to said boundary; and
if said element of operational data is within said second class of data, determining that said element of operational data represents an out-of-range condition for said apparatus. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for detecting out-of-range conditions in an apparatus comprising:
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receiving a set of training data collected by one or more independent sensors, said training data comprising measurements of operational characteristics of said apparatus;
assigning a class to each element of data in said training data; and
generating a boundary in a feature space, said boundary substantially separating training data assigned to one class from training data assigned to other classes. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. An apparatus for detecting out-of-range conditions in equipment having a monitoring system, said monitoring system adapted to store a support vector machine feature space having a boundary substantially separating a first class of data from a second class of data, said apparatus comprising:
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means for receiving an element of operational data from an independent sensor associated with said equipment;
means for comparing said element of operational data to said boundary; and
means for determining that said element represents an out-of-range condition for said equipment if said element of operational data is in said second class. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27)
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28. An apparatus for detecting out-of-range conditions in equipment comprising:
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means for receiving a set of training data collected by one or more independent sensors, said training data comprising measurements of operational characteristics of said equipment;
means for assigning a class to each element of data in said training data; and
means for generating a boundary in a feature space, said boundary substantially separating training data assigned to one class from training data assigned to other classes. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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Specification