A monitoring device includes: an acquisition unit for acquiring a clock signal output from a communication circuit that outputs the clock signal; and a monitoring unit for analyzing the waveform of the clock signal acquired by the acquisition unit, based on a predetermined reference clock signal having a period equal to or shorter than a period of the clock signal to thereby determine whether or not there is a sign of malfunction in the communication circuit.

Apparatus for sensing a high-frequency event signal in a rotating electrical machine includes a HF evaluation apparatus, and at least two sensors arranged in the rotating electrical machine and designed to sense a low-frequency sensor signal. Each of the at least two sensors Includes an antenna for decoupling the high-frequency event signal from a high-frequency electromagnetic field of the rotating electrical machine. A common coupling element connects the at least two sensors to the HF evaluation apparatus. The coupling element designed to transfer the high-frequency event signal from at least one of the at least two sensors to the HF evaluation apparatus and to decouple the low-frequency sensor signal.

A system, method, and non-transitory computer readable medium for diagnosing stator inter-turn faults in a Line Start Permanent Magnet Synchronous Motor (LSPMSM) are described. The method of diagnosing stator inter-turn faults in the LSPMSM includes collecting acoustic signals that are generated from a LSPMSM by a communication device, analyzing via singular spectrum analysis (SSA) the collected acoustic signals for fault detection of the stator inter-turn faults, and determining a fault diagnosis for the fault detection by executing a Fast Fourier Transform (FFT).

The present disclosure relates to systems and methods for improved anomaly detection for rotating machines. An example method may include determining a rotational speed of a rotating machine; determining, using a frequency domain transform of a signal, a frequency domain signal; determining, based on the rotational speed, a first frequency band within the frequency domain signal for identifying a fault frequency; determining a fault frequency within the first frequency band; determining, based on the fault frequency, a second frequency band within the first frequency band, wherein the second frequency band includes the fault frequency; determining, based on the second frequency band, a first fault index and a baseline of the first fault index; determining, based on a deviation of a second fault index from the baseline, a fault condition; and providing an alert based on the fault condition.

An HVAC system includes a blower, a motor drive, and a controller. A benchmark rate of the flow of air provided by the blower and a corresponding benchmark power output of the motor drive associated with operation of the blower at a test condition are received. The controller determines a first motor drive frequency at which the motor drive is operating. Based on the benchmark rate and a comparison of the first motor drive frequency to the predefined motor drive frequency, a first rate of the flow of air provided by the blower is determined. At a later time, a current power output of the motor drive is determined during operation of the blower at the test condition. Based on a comparison of the current benchmark power output to the benchmark power output, an updated benchmark rate of the flow of air provided by the blower is determined.

A health monitor circuit for an electric machine is described. The health monitor circuit includes at least one sensor configured to measure a parameter of the electric machine, a communication interface, and a microprocessor coupled to the at least one sensor, the communication interface, and a memory. The microprocessor is configured to periodically collect time samples of the parameter measured by the at least one sensor, transmit factors of the time samples to the memory, and perform a high resolution fast-Fourier transform (FFT) on the factors. The microprocessor is also configured to extrapolate results of the high resolution FFT to a produce a high resolution frequency domain waveform, filter the high resolution frequency domain waveform by a parameter, and transmit, via the communication interface, the filtered frequency domain waveform to a remote system for further processing.

A method for phase-voltage based motor period measurement includes generating a commanded phase voltage and applying the commanded phase voltage to a first phase voltage input of an electric motor, a second phase voltage input of the electric motor, and a third phase voltage input of the electric motor, measuring a first period of a phase voltage associated with the first phase voltage input and the second phase voltage input and comparing the measured first period to a frequency of the commanded phase voltage, and, in response to a determination that the measured first period of the phase voltage associated with the first phase voltage input and the second phase voltage input is outside of a range of the frequency associated with the commanded phase voltage, identifying a fault associated with the first integrated circuit or signal path.

A condition-based monitoring system receives a plurality of measurements from sensors measuring mechanical and electrical aspects of a prime mover and a synchronous machine. The condition-based monitoring system determines a correlation between the mechanical measurements and electrical measurements to estimate parameters of the model. The condition-based monitoring system also updates the model as sensors obtain additional measurements during operation of the prime mover.

A system is provided including a current sensor arranged to sense current drawn by an electric motor of a powered device through an AC power line from a power supply and provide current data related to the powered device; a monitoring device arranged to receive the current data from the electrical sensor, the monitoring device including a controller processing the current data to obtain performance data associated with the powered device, the performance data relating to load applied to the electric motor; a data communication device communicating with the monitoring device and arranged to receive the performance data associated with the powered device; and a computing device including a graphical user interface, the computer device receiving a user's selection of the powered device from a list of powered devices and presenting the performance data to the user via the graphical user interface in response to the user's selection.

A motor control device controls a drive of a motor having a motor winding includes an angle calculation unit, a drive control unit, and an abnormality diagnosis unit. The angle calculation unit acquires a detected value from a rotation angle sensor that detects a rotation angle of the motor and calculate the rotation angle of the motor. The drive control unit controls the drive of the motor based on the rotation angle of the motor. When an abnormality in the rotation angle of the motor is detected while the motor is being driven, the abnormality diagnosis unit performs an abnormality diagnosis of an energized system while maintaining an energized state.