G01H1/003

Method for controlling at least two mechanical oscillators
11548423 · 2023-01-10 · ·

A method for controlling at least two mechanical oscillators, more particularly in a motor vehicle, where each oscillator oscillates at a frequency during operation and where the frequency can be controlled by the power applied to the oscillators, includes arranging a single sound transducer at a distance from the oscillators and capturing an electrical signal, where the electrical signal is subjected to a Fourier transform and thus a Fourier spectrum is determined. The frequency of each oscillator is determined from extreme values of the Fourier spectrum.

Wireless machine condition monitoring device
11553594 · 2023-01-10 · ·

A condition monitoring device configured to be mounted on a machine for sensing, for example, vibrations produced by the machine during operation, includes a base, a printed circuit board assembly lying in a first plane, and first and second fasteners, each having a longitudinal axis, lying in a second plane perpendicular to the first plane, the first and second fasteners extending through the printed circuit board assembly and into the base. A third plane is perpendicular to the first and second planes and is located halfway between the longitudinal axes of the first and second fasteners. An integrated power supply is connected to the printed circuit board assembly, and at least two active sensing cells, such as vibration sensors, are arranged symmetrically relative to the second plane and/or symmetrically relative to the third plane.

Smart motor data analytics with real-time algorithm
11692866 · 2023-07-04 · ·

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.

Method and Apparatus for Detecting an Initial Lubrication of a Moving Component
20230003690 · 2023-01-05 · ·

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.

Monitoring machine vibration
11543325 · 2023-01-03 · ·

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.

Systems and methods for modeling and controlling physical dynamical systems using artificial intelligence
11544930 · 2023-01-03 · ·

The present disclosure provides systems, methods, and computer program products for controlling an object. An example method can comprise (a) obtaining video data of the object and (b) performing motion analysis on the video data to generate modified video data. The method can further comprise (c) using artificial intelligence (AI) to identify a set of features in the modified video data. The set of features may be indicative of a predicted state of the object. The AI may be been trained offline on historical training data. The method can further comprise (d) using the predicted state to determine a control signal and (e) transmitting, in real-time, the control signal to the object to adjust or maintain a state of the object in relation to the predicted state. Operations (a) to (d) can be performed without contacting the object.

IoT-based network architecture for detecting faults using vibration measurement data

In one embodiment, a device in a network receives a machine learning encoder and decoder trained by a supervisory service. The service trains the encoder and decoder using vibration measurement data sent to the service by a plurality of devices. The device trains, based on the received encoder, a classifier to determine whether vibration measurement data is indicative of a behavioral anomaly. The device receives vibration measurement data captured by a particular set of one or more vibration sensors of a monitored system. The device evaluates, using the trained decoder, the received vibration measurement data to determine whether the data is indicative of a structural anomaly in the monitored system. The device evaluates, using the trained classifier, the received vibration measurement data to determine whether the data is indicative of a behavioral anomaly in the monitored system.

INERTIA MEASUREMENT DEVICE

This invention relates to devices used to measure the mass moment of inertia (MOI) of physical objects. Embodiments of this invention provide a compact device that is easy to use and adjustable to broaden the range of physical object sizes/MOIs that would not otherwise be measurable with a single nonadjustable device. The device protects certain components from being disturbed or damaged by the user by means of permanent attachment or affixment to the device, while still allowing the adjustability noted. While some parts, such as one or more auxiliary platters, must be fully attached and detached for the purpose of adjustment, other components of this specific invention remain permanently attached to the device to avoid loss or damage while still allowing them to be engaged/connected or disengage/disconnected for adjustment purposes.

VIBRATION ANALYSIS APPARATUS AND VIBRATION MEASUREMENT SYSTEM
20220397484 · 2022-12-15 ·

For peaks having top ten peak values in a frequency spectrum obtained by frequency analysis, a central processing unit specifies a part based on information on a bearing subjected to measurement. For the peaks having the top ten peak values, a determination unit determines a vibration state based on the peak value and a criterion value. For the peaks having the top ten peak values, a display shows the peak value, the part, and a result of determination by the determination unit.

Positioning system and method for determining the position of fans

A method for determining the positions of a number of fans (V.sub.n,m) for generating an air flow in a preferably enclosed space. The fans (V.sub.n,m) have an acceleration sensor to determine their position. The fans (V.sub.n,m) are arranged in rows (R.sub.1, R.sub.2, . . . , R.sub.n) and columns (S.sub.1, S.sub.2, . . . , S.sub.m). At least the position (i, j) of one fan (V.sub.i,j) is known.