Method and computer program for analyzing variables using pruning, influencing a combustion process in a combustion chamber, using a trainable statistical model
First Claim
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1. A method for analyzing variables influencing a combustion process in a combustion chamber, comprising:
- training a statistical model using predetermined values of influencing variables;
altering parameters of the model such that the model describes the combustion process; and
determining the influence of the altered parameters on the combustion process,wherein the model parameters are weights of the model,wherein the variables are analyzed by a pruning method and a pruning of the model parameters is performed during the pruning method, andwherein the pruning method comprising;
representing each of the influencing variables by a node,providing a link between each of the nodes,determining a zero order statistical independence and dependence between two of the nodes,removing the link between the two nodes when a zero order statistical independence is determined between the two of the nodes;
removing a link between a first node and a second node based on a first order statistical independence such that the link between the first node and the second node is removed when the first node is linked to a third node and the second node is linked to the third node.
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Abstract
The invention relates to sensitivity analysis of variables influencing a combustion process. A trainable, statistical model is trained in such a way that it describes the combustion process in the combustion chamber. The trained statistical model is used to determine the influence of the variables on said combustion process in the combustion chamber.
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Citations
15 Claims
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1. A method for analyzing variables influencing a combustion process in a combustion chamber, comprising:
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training a statistical model using predetermined values of influencing variables; altering parameters of the model such that the model describes the combustion process; and determining the influence of the altered parameters on the combustion process, wherein the model parameters are weights of the model, wherein the variables are analyzed by a pruning method and a pruning of the model parameters is performed during the pruning method, and wherein the pruning method comprising; representing each of the influencing variables by a node, providing a link between each of the nodes, determining a zero order statistical independence and dependence between two of the nodes, removing the link between the two nodes when a zero order statistical independence is determined between the two of the nodes; removing a link between a first node and a second node based on a first order statistical independence such that the link between the first node and the second node is removed when the first node is linked to a third node and the second node is linked to the third node. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A computer program for analyzing variables influencing a combustion process in a combustion chamber, the computer program compising a non-transitory computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform a method comprising:
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computer code that trains a statistical model using predetermined values of influencing variables; computer code that alters parameters of the model such that the model describes the combustion process; and computer code that determines the influence of the altered parameters on the combustion process, wherein the model parameters are weights of the model, and wherein the variables are analyzed by a pruning method and a pruning of the model parameters is performed during the pruning method, wherein the pruning method comprising; representing each of the influencing variables by a node, providing a link between each of the nodes, determining a zero order statistical independence and dependence between two of the nodes, removing the link between the two nodes when a zero order statistical independence is determined between the two of the nodes; removing a link between a first node and a second node based on a first order statistical independence such that the link between the first node and the second node is removed when the first node is linked to a third node and the second node is linked to the third node. - View Dependent Claims (15)
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Specification