An example method includes: receiving a sine feedback signal and a cosine feedback signal from a resolver; generating a rectified sine signal and a rectified cosine signal; determining a direction of rotation of a shaft of an electric motor using the sine feedback signal, the cosine feedback signal, the rectified sine signal, and the rectified cosine signal; converting the rectified sine signal and the rectified cosine signal into a signed sine signal and a signed cosine signal, respectively, using information associated with determining the direction of rotation; determining a speed of rotation of the shaft using the signed sine signal and the signed cosine signal; comparing the direction and the speed of rotation to respective direction and respective speed of rotation determined by a resolver-to-digital converter; and operating the electric motor based on the comparing.

An example method includes: receiving a sine feedback signal and a cosine feedback signal from a resolver; generating a rectified sine signal and a rectified cosine signal; determining a direction of rotation of a shaft of an electric motor using the sine feedback signal, the cosine feedback signal, the rectified sine signal, and the rectified cosine signal; converting the rectified sine signal and the rectified cosine signal into a signed sine signal and a signed cosine signal, respectively, using information associated with determining the direction of rotation; determining a speed of rotation of the shaft using the signed sine signal and the signed cosine signal; comparing the direction and the speed of rotation to respective direction and respective speed of rotation determined by a resolver-to-digital converter; and operating the electric motor based on the comparing.

An automated method for discovering features in a repeatable process includes measuring raw time series data during the process using sensors. The time series data describes multiple parameters of the process. The method includes receiving, via a first controller, the time series data from the sensors, and stochastically generating candidate features from the raw time series data using a logic block or blocks of the first controller. The candidate features are predictive of a quality of a work piece manufactured via the repeatable process. The method also includes determining, via a genetic or evolutionary programming module, which generated candidate features are most predictive of the quality of the work piece, and executing a control action with respect to the repeatable process via a second controller using the most predictive candidate features. A system includes the controllers, the programming module, and the sensors.

An automated method for discovering features in a repeatable process includes measuring raw time series data during the process using sensors. The time series data describes multiple parameters of the process. The method includes receiving, via a first controller, the time series data from the sensors, and stochastically generating candidate features from the raw time series data using a logic block or blocks of the first controller. The candidate features are predictive of a quality of a work piece manufactured via the repeatable process. The method also includes determining, via a genetic or evolutionary programming module, which generated candidate features are most predictive of the quality of the work piece, and executing a control action with respect to the repeatable process via a second controller using the most predictive candidate features. A system includes the controllers, the programming module, and the sensors.

A method includes receiving a sine feedback signal and a cosine feedback signal from a resolver coupled to an output shaft of an electric motor. Rectified sine and cosine signals are generated by sampling the feedback signals. A direction of rotation of the output shaft is determined using the feedback signals and the rectified signals. The rectified sine signal and the rectified cosine signal are converted into a signed sine signal and a signed cosine signal, respectively, using information associated with the direction of rotation. A speed of rotation of the output shaft is determined using the signed sine signal and the signed cosine signal. The direction and the speed of rotation are compared to a respective direction and a respective speed determined by a resolver-to-digital converter. The electric motor is operated based on the comparison.

A method includes receiving a sine feedback signal and a cosine feedback signal from a resolver coupled to an output shaft of an electric motor. Rectified sine and cosine signals are generated by sampling the feedback signals. A direction of rotation of the output shaft is determined using the feedback signals and the rectified signals. The rectified sine signal and the rectified cosine signal are converted into a signed sine signal and a signed cosine signal, respectively, using information associated with the direction of rotation. A speed of rotation of the output shaft is determined using the signed sine signal and the signed cosine signal. The direction and the speed of rotation are compared to a respective direction and a respective speed determined by a resolver-to-digital converter. The electric motor is operated based on the comparison.