Status monitoring apparatus, status monitoring method, and program

A status monitoring method comprising:

• an information obtaining step which obtains detected information items that are continuously detected;
• an image data generating step which partitions the detected information items, which are obtained in the information obtaining step, by frames at predetermined time intervals, and generates, for each frame, two-dimensional image data representing a distribution of the detected information items in the frame, with an axis of abscissa being a time axis and an axis of ordinate being an axis showing a value or an amount of the detected information items;
• and
• a status detecting step which performs a machine learning based on the two-dimensional image data which are sequentially generated in the image data generating step, so as to generate a correct label for judging whether the two-dimensional image data show a failure or a warning sign of failure, and judges that a failure or a warning sign of failure has occurred in the detected information items, when the two-dimensional image data corresponding to the correct label are generated.

A program executable in a computer to perform:

• an information obtaining step which obtains detected information items that are continuously detected;
• an image data generating step which partitions the detected information items, which are obtained in the information obtaining step, by frames at predetermined time intervals, and generates, for each frame, two-dimensional image data representing a distribution of the detected information items in the frame, with an axis of abscissa being a time axis and an axis of ordinate being an axis showing a value or an amount of the detected information items;
• and
• a status detecting step which performs a machine learning based on the two-dimensional image data which are sequentially generated in the image data generating step, so as to generate a correct label for judging whether the two-dimensional image data show a failure or a warning sign of failure, and judges that a failure or a warning sign of failure has occurred in the detected information items, when the two-dimensional image data corresponding to the correct label are generated.