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.

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.

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.

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 measurement method includes: generating second measurement data by performing filter processing on observation data-based first measurement data; calculating a first deflection amount of a structure based on an approximate equation of deflection of the structure, observation information, and environment information; calculating a second deflection amount by performing filter processing on the first deflection amount; calculating a third deflection amount based on the second deflection amount and a first-order coefficient and a zero-order coefficient which are calculated based on the second measurement data and the second deflection amount, and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; calculating a first static response by adding the offset and a product of the first-order coefficient and the first deflection amount; and calculating a first dynamic response by subtracting the first static response from the first measurement data.

A sensing system contains a vibration device attached to a stem of an agricultural crop for applying vibration to the agricultural crop, at least one sensor attached to the stem of the agricultural crop for sensing vibration of the agricultural crop caused by the vibration applied to the agricultural product from the vibration device to transmit vibration information relate to the vibration of the agricultural crop and a computing device for identifying one local maximum value among a plurality of local maximum values in a frequency spectrum obtained from the vibration information received from the at least one sensor as a resonance frequency of the vibration of the agricultural crop to determine a growth degree of a fruit of the agricultural crop based on the identified resonance frequency.

The invention relates to a method (1) for monitoring a rotating machine (100) of an aircraft, wherein a measurement signal is acquired from the rotating machine. According to the invention, instantaneous frequencies (f.sub.K(t)) of sinusoidal components of the measurement signal are estimated, and, using a computing module (12), a plurality of successive iterations are carried out in each of which: complex envelopes of the components are updated (C1), parameters of a model of a noise of the signal are updated (C21) on the basis of the envelopes, whether the model has converged from the preceding iteration to the present iteration is tested (C4), with a view to: o if not, carrying out a new iteration, o if so, performing a computation (D) of the complex envelopes on the basis of the iterations that have been carried out.

A knocking determination device detects a vibration generated in an internal combustion engine during a predetermined period in each combustion cycle of the internal combustion engine. The knocking determination device performs a knocking determination of a presence or absence of a knock based on a vibration waveform in a predetermined frequency band component of the vibration detected.

A method of monitoring one or more manufacturing components includes clustering vibration data associated with the one or more manufacturing components to generate a plurality of clusters, determining a vibration characteristic of the one or more manufacturing components based on the plurality of clusters, comparing auxiliary data associated with the one or more manufacturing components and an auxiliary data prediction model associated with the one or more manufacturing components, and determining an auxiliary characteristic of the one or more manufacturing components based on a comparison of the auxiliary data associated and the auxiliary data prediction model. The method includes determining a state of the one or more manufacturing components based on the vibration characteristic and the auxiliary characteristic and broadcasting a notification based on the state.

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.