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;
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; and
issuing an alarm to indicate a fault occurs.
2 Assignments
0 Petitions
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.
42 Citations
36 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; 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; and issuing an alarm to indicate a fault occurs. - 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; generating a boundary in a feature space, said boundary substantially separating training data assigned to one class from training data assigned to other classes, wherein said other classes are classes associated with training data that is out of a normal operating range of said apparatus; and storing said boundary in memory. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. 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 (20, 21, 22, 23, 24, 25, 26)
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27. 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, wherein said other classes are classes associated with training data that is out of a normal operation range of said equipment; and means for storing said boundary in memory. - View Dependent Claims (28, 29, 30, 31, 32, 33, 34, 35, 36)
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Specification