A machine tool management system comprising: a plurality of sensor edge devices that are provided corresponding to a plurality of machine tools; and a server device that is connected to the sensor edge devices via a network, wherein the server device includes a catalog storage unit, a catalog control unit, and a catalog updating unit; the sensor edge devices include a feature quantity extraction unit, a sensor data processing unit, and a feature quantity tuning unit, the catalog storage unit is adapted to store a catalog having versatility for a plurality of machine tools of a same machine tool type, the catalog being configured of a sensor parameter, a feature quantity distribution, and processing algorithm information; the catalog control unit is adapted to specify the catalog corresponding to a target machine tool to be subjected to state determination based on machine tool information including at least an item of the machine tool type and acquire the catalog from the catalog storage unit; the feature quantity extraction unit is adapted to extract a feature quantity from sensor data detected from the target machine tool; the sensor data processing unit is adapted to perform a state determination of the target machine tool based on the feature quantity distribution included in the acquired catalog and the feature quantity extracted from the sensor data; the feature quantity tuning unit is adapted to perform tuning on the feature quantity distribution by mapping the feature quantity extracted from the sensor data to the feature quantity distribution; the catalog updating unit is adapted to update the catalog stored in the catalog storage unit based on the feature quantity distribution after tuning; the sensor data processing unit is adapted to perform clustering of the feature quantity extracted from the sensor data in the feature quantity distribution according to the processing algorithm information included in the acquired catalog and perform the state determination of the target machine tool; each cluster is labeled in a different operating state of the machine tool, the operating states including a stopped state, an idling state, and a cutting state; the catalog updating unit is adapted to update the catalog stored in the catalog storage unit by an updated feature quantity distribution obtained by performing reinforcement learning of the original feature quantity distribution with the feature quantity distribution after tuning and processing specification information transmitted from the plurality of sensor edge devices via the network set as teacher data; and the server device is adapted to supply the updated feature quantity distribution via the network to the plurality of sensor edge devices to be used for abnormality detection or failure sign detection. a plurality of sensor edge devices that are provided corresponding to a plurality of machine tools; and a server device that is connected to the sensor edge devices via a network, wherein the server device includes a catalog storage unit, a catalog control unit, and a catalog updating unit; the sensor edge devices include a feature quantity extraction unit, a sensor data processing unit, and a feature quantity tuning unit, the catalog storage unit is adapted to store a catalog having versatility for a plurality of machine tools of a same machine tool type, the catalog being configured of a sensor parameter, a feature quantity distribution, and processing algorithm information; the catalog control unit is adapted to specify the catalog corresponding to a target machine tool to be subjected to state determination based on machine tool information including at least an item of the machine tool type and acquire the catalog from the catalog storage unit; the feature quantity extraction unit is adapted to extract a feature quantity from sensor data detected from the target machine tool; the sensor data processing unit is adapted to perform a state determination of the target machine tool based on the feature quantity distribution included in the acquired catalog and the feature quantity extracted from the sensor data; the feature quantity tuning unit is adapted to perform tuning on the feature quantity distribution by mapping the feature quantity extracted from the sensor data to the feature quantity distribution; the catalog updating unit is adapted to update the catalog stored in the catalog storage unit based on the feature quantity distribution after tuning; the sensor data processing unit is adapted to perform clustering of the feature quantity extracted from the sensor data in the feature quantity distribution according to the processing algorithm information included in the acquired catalog and perform the state determination of the target machine tool; each cluster is labeled in a different operating state of the machine tool, the operating states including a stopped state, an idling state, and a cutting state; the catalog updating unit is adapted to update the catalog stored in the catalog storage unit by an updated feature quantity distribution obtained by performing reinforcement learning of the original feature quantity distribution with the feature quantity distribution after tuning and processing specification information transmitted from the plurality of sensor edge devices via the network set as teacher data; and the server device is adapted to supply the updated feature quantity distribution via the network to the plurality of sensor edge devices to be used for abnormality detection or failure sign detection.