Information processing with an objective function that includes a generated regularization term using an apparatus, information processing method, and non-transitory computer readable medium

An information processing method performed by a computer including a processor and a memory comprising:

• reading operation data of a target apparatus including a plurality of variables obtained by sensing a plurality of components in the target apparatus with a plurality of sensors monitoring the plurality of components in the target apparatus and structure data representing structural relation among the plurality of variables from at least one memory, the operation data including whether or not a predetermined event has occurred;
• grouping variables having a same type of structural relation among the plurality of variables in the operating data into a same group based on the structure data to generate a plurality of groups of at least one group type corresponding to a type of structural relation of variables in the groups, each of the plurality of variables being included in one of the plurality of groups;
• determining at least one regularization type corresponding to the plurality of groups based on mapping data mapping a plurality of group types to a plurality of regularization types and based on group types of the plurality of groups, and generate at least one regularization term including a coefficient for the variables included in the groups for the at least one regularization type;
• selecting an evaluation function to be used among a plurality of evaluation functions, depending on whether or not there is an overlap of variables among the plurality of groups, each evaluation function including the coefficients for the plurality of variables and the plurality of variables,
• generating an objective function including the at least one regularization term generated for the at least one regularization type and including the selected evaluation function, and optimizing the objective function based on the operation data to estimate values of a plurality of coefficients for the plurality of variables;
• selecting only variables with an absolute value greater than zero from the plurality of variables based on the values of the estimated coefficients;
• identify, as drawing variables, the selected variables and their structurally adjacent variables determined based on the structure data;
• generating, in a form of a table or graph, variable structure data that visually represents the drawing variables and structural relationships among the drawing variables, wherein the selected variables correspond to components having more influence on occurrence of the predetermined event among the plurality of components in the target apparatus and the non-selected variables correspond to components less influence on occurrence of the predetermined event among the plurality of components;
• displaying the variable structure data visibly to a user;
• constructing, based on a value of the coefficient estimated for the selected variable and the selected variable, a model of detecting occurrence of the predetermined event in the target apparatus;
• receiving an operation data acquired by the plurality of sensors via a network;
• calculating an output value of the model based on the operation data received, and detecting the occurrence of the predetermined event in the target apparatus based on the output value;
• and
• displaying the variable structure data so that the user is able to specify a component that caused the occurrence of the predetermined event among the plurality of components in the target apparatus to one of the components corresponding to the selected variables, wherein
• the operation data includes first operation data acquired in a first period and second operation data acquired in a second period later than the first period,
• the processes comprises performing processing on the first operation data to select first variables being the variables with the absolute value greater than zero from the plurality of variables, and performing processing on the second operation data to select second variables being the variables with the absolute value greater than zero from the plurality of variables,
• determining whether a first set of drawing corresponding to the first operation data structurally differs a second set of drawing variables corresponding to the second operation data and, when a structural difference is detected between the first and second sets of drawing variables, outputting an alert indicating that a structural mechanism of occurrence of the predetermined event in the target apparatus has changed.

A non-transitory computer readable medium having a computer program stored therein which causes a computer to perform processes comprising:

• reading operation data of a target apparatus including a plurality of variables obtained by sensing a plurality of components in the target apparatus with a plurality of sensors monitoring the plurality of components in the target apparatus and structure data representing structural relation among the plurality of variables from at least one memory, the operation data including whether or not a predetermined event has occurred;
• grouping variables having a same type of structural relation among the plurality of variables in the operating data into a same group based on the structure data to generate a plurality of groups of at least one group type corresponding to a type of structural relation of variables in the groups, each of the plurality of variables being included in one of the plurality of groups;
• determining at least one regularization type corresponding to the plurality of groups based on mapping data mapping a plurality of group types to a plurality of regularization types and based on group types of the plurality of groups, and generate at least one regularization term including a coefficient for the variables included in the groups for the at least one regularization type;
• selecting an evaluation function to be used among a plurality of evaluation functions, depending on whether or not there is an overlap of variables among the plurality of groups, each evaluation function including the coefficients for the plurality of variables and the plurality of variables,
• generating an objective function including the at least one regularization term generated for the at least one regularization type and including the selected evaluation function, and optimizing the objective function based on the operation data to estimate values of a plurality of coefficients for the plurality of variables;
• selecting only variables with an absolute value greater than zero from the plurality of variables based on the values of the estimated coefficients;
• identify, as drawing variables, the selected variables and their structurally adjacent variables determined based on the structure data;
• generating, in a form of a table or graph, variable structure data that visually represents the drawing variables and structural relationships among the drawing variables components in the target apparatus, wherein the selected variables correspond to components having more influence on occurrence of the predetermined event among the plurality of components in the target apparatus and the non-selected variables correspond to components less influence on occurrence of the predetermined event among the plurality of components;
• displaying the variable structure data visibly to a user;
• constructing, based on a value of the coefficient estimated for the selected variable and the selected variable, a model of detecting occurrence of the predetermined event in the target apparatus;
• receiving an operation data acquired by the plurality of sensors via a network;
• calculating an output value of the model based on the operation data received, and detecting the occurrence of the predetermined event in the target apparatus based on the output value;
• and
• displaying the variable structure data so that the user is able to specify a component that caused the occurrence of the predetermined event among the plurality of components in the target apparatus to one of the components corresponding to the selected variables, wherein
• the operation data includes first operation data acquired in a first period and second operation data acquired in a second period later than the first period,
• the processes comprises performing processing on the first operation data to select first variables being the variables with the absolute value greater than zero from the plurality of variables, and performing processing on the second operation data to select second variables being the variables with the absolute value greater than zero from the plurality of variables,
• determining whether a first set of drawing corresponding to the first operation data structurally differs a second set of drawing variables corresponding to the second operation data and, when a structural difference is detected between the first and second sets of drawing variables outputting an alert indicating that a structural mechanism of occurrence of the predetermined event in the target apparatus has changed.