Apparatus (10) for monitoring the condition of an item of electrical equipment (1) whilst in operation comprises a vibration sensor (11) and an electrical sensor (12) operable to detect a characteristic operational electrical signal of the equipment (1). The output of the vibration sensor (11) and the electrical sensor (12) is supplied to a spectrum generator (13) and then to a processing unit (14) operable to process the respective frequency spectrums to generate a frequency response function. Once a frequency response function is generated, the processing unit (14) is operable to compare the generated frequency response function to a model frequency response function. This allows any variations between the generated frequency response function and the model frequency response function to be identified. This could be indicative of a fault and could provide an identification of the nature of the fault.

A computer-implemented method and system for Condition Monitoring (CM) for rotating machines. The method and system include continuously receiving samples of the envelope of physical quantity data such as speed, vibration, or current, updating in real-time accumulator variables, computing in real-time spectral features based on the accumulator variables and supplemental variables, and determining a condition based on the real-time spectral features. The spectral features, exemplary as amplitudes at specific frequencies, are computed in real-time by a Goertzel Algorithm. The totality of the accumulator variables is sufficient to determine the condition of the rotating machine and the supplemental variables are temporarily needed for computing the spectral features. The one or more supplemental variables, such as memory addresses, are not based on the received samples of the input data.

A computer-implemented method and system for Condition Monitoring (CM) for rotating machines. The method and system include continuously receiving samples of the envelope of physical quantity data such as speed, vibration, or current, updating in real-time accumulator variables, computing in real-time spectral features based on the accumulator variables and supplemental variables, and determining a condition based on the real-time spectral features. The spectral features, exemplary as amplitudes at specific frequencies, are computed in real-time by a Goertzel Algorithm. The totality of the accumulator variables is sufficient to determine the condition of the rotating machine and the supplemental variables are temporarily needed for computing the spectral features. The one or more supplemental variables, such as memory addresses, are not based on the received samples of the input data.

Bearing unit providing a housing and at least one bearing mounted in the housing. The bearing unit includes at least one load sensing element and at least one vibration sensing element fixed on the housing.

Bearing unit providing a housing and at least one bearing mounted in the housing. The bearing unit includes at least one load sensing element and at least one vibration sensing element fixed on the housing.

An apparatus and method for detecting an initial lubrication of a moving component including an ultrasonic sensor for detecting an ultrasonic output signal from the moving component and a processor for operating on the output signal. The processor determines if there has been an initiation of a lubrication operation. After identifying the initiation of the lubrication operation, the processor monitors the ultrasonic output signal received from the ultrasonic sensor to detect a momentary increase in the amplitude of the ultrasonic output signal above a level that indicates a need for lubrication, and which is indicative of an initial interaction between a lubricant and the moving component. Upon detecting the momentary increase in the amplitude, the processor tracks a progress of the lubrication operation by detecting for a sustained decrease in the amplitude of the ultrasonic output signal received from the ultrasonic sensor.

An apparatus and method for detecting an initial lubrication of a moving component including an ultrasonic sensor for detecting an ultrasonic output signal from the moving component and a processor for operating on the output signal. The processor determines if there has been an initiation of a lubrication operation. After identifying the initiation of the lubrication operation, the processor monitors the ultrasonic output signal received from the ultrasonic sensor to detect a momentary increase in the amplitude of the ultrasonic output signal above a level that indicates a need for lubrication, and which is indicative of an initial interaction between a lubricant and the moving component. Upon detecting the momentary increase in the amplitude, the processor tracks a progress of the lubrication operation by detecting for a sustained decrease in the amplitude of the ultrasonic output signal received from the ultrasonic sensor.

A wheel hub assembly for motor vehicles, having a rotatable hub, a bearing unit in turn comprising a radially outer ring, a radially inner ring and a plurality of rolling bodies. The axial interface between the wheel hub assembly and a knuckle of a motor vehicle suspension provides at least one piezoelectric spacer configured to detect first mechanical vibrations coming from the components of the wheel hub assembly and to implement corrective action consisting of second mechanical vibrations of almost equal amplitude but with opposite direction and phase, so that the resultant of the first and second mechanical vibrations is close to zero.

A method can include receiving time-dependent vibration data characterizing a vibration of a machine. The method can also include generating first conditioned vibration data by at least identification of one or more vibrational peaks of intermediate data representative of the received vibration data, temporal interpolation of one or more portions of the intermediate data including the identified one or more vibrational peaks, and widening the one or more vibrational peaks. The method can further include generating a frequency spectrum based on the first conditioned vibration data. The method can also include providing the frequency spectrum to a user.

A method can include receiving time-dependent vibration data characterizing a vibration of a machine. The method can also include generating first conditioned vibration data by at least identification of one or more vibrational peaks of intermediate data representative of the received vibration data, temporal interpolation of one or more portions of the intermediate data including the identified one or more vibrational peaks, and widening the one or more vibrational peaks. The method can further include generating a frequency spectrum based on the first conditioned vibration data. The method can also include providing the frequency spectrum to a user.