Anomaly factor estimation apparatus, anomaly factor estimation method and program

An anomaly factor estimation method executed by an anomaly factor estimation apparatus including a memory and a processor, the method comprising:

• training an anomaly detection model for performing anomaly detection based on an error of output data with respect to input data represented by a multidimensional numerical vector;
• inputting test data into the anomaly detection model, to determine whether the test data corresponds to an anomaly based on output data output from the anomaly detection model and the test data;
• and
• calculating a degree of contribution to the anomaly for each dimension of the test data based on a likelihood of said each dimension in response to determining that the test data corresponds to the anomaly.

A non-transitory computer-readable recording medium having computer-readable instructions stored thereon, which when executed, causes a computer to execute a process of system state estimation, the process comprising:

• training an anomaly detection model for performing anomaly detection based on an error of output data with respect to input data represented by a multidimensional numerical vector;
• inputting test data into the anomaly detection model, to determine whether the test data corresponds to an anomaly based on output data output from the anomaly detection model and the test data;
• and
• calculating a degree of contribution to the anomaly for each dimension of the test data based on a likelihood of said each dimension in response to determining that the test data corresponds to the anomaly.