Equipment machine abnormality diagnosis system

When abnormality diagnosis of an equipment machine is performed using data clustering processing, the abnormality diagnosis can be realized even when the normal data for the learning process with respect to the data of the equipment machine is unclear and cannot be defined. An abnormality diagnosis system for an equipment machine is configured such that abnormality diagnosis is performed using ananalysis method including learning processing using normal data and diagnosis processing using a model created in a learning process based on a plurality of data from the equipment machine; with respect to a plurality of data from the equipment machine, data of a normal operation of the equipment machine is not known; and the system includes: a first processing unit that performs clustering processing on a plurality of data from the equipment machine, a second processing unit defining a normal group based on the number of data conform to each group, a third processing unit extracting data conform to the normal group a