An analysis method of a device through a MEMS sensor is provided in which the MEMS sensor includes a control unit and a sensing assembly coupled to the device. The analysis method includes acquiring, through the sensing assembly, first data indicative of an operative state of the device. Testing is performed for the presence of a first abnormal operating condition of the device. If the first abnormal operating condition of the device is confirmed, a self-test of the sensing assembly is performed to generate a quantity indicative of an operative state of the sensing assembly. The self-test includes acquiring, through the sensing assembly, second data indicative of the operative state of the sensing assembly, generating a signature according to the second data, and processing the signature through deep learning techniques to generate said quantity.