Provided is a system for real-time condition diagnosis of a bearing module including a self-power generation module installed in an outer ring of a bearing to generate electricity using vibration generated from a micro whirling motion of the bearing, a behavior detection unit installed in the bearing to detect behavior information of the bearing in real time, a wireless transmission module connected to the behavior detection unit to transmit the real-time detected behavior information of the bearing to an external device, and a condition diagnosis unit that receives the behavior information of the bearing transmitted from the wireless transmission module and diagnoses condition of the bearing in real time, wherein the real-time behavior information of the behavior detection unit installed in the bearing is transmitted through the electricity obtained by the self-power generation module.

A vibration measurement and analysis system identifies faulty bearings in a machine based on spectral vibration data. The system includes vibration sensors attached to the machine that generate vibration signals. A vibration data collector generates vibration spectral data based on the vibration signals. The vibration spectral data comprises vibration amplitude versus frequency data that includes peak amplitudes at corresponding peak frequencies. At least some of the peak amplitudes are associated with vibration generated by the faulty bearings. A vibration analysis computer processes the vibration spectral data to (1) locate the largest peak amplitudes, (2) search a bearing fault frequency library to generate a list of identified bearings having bearing fault frequencies matching the peak frequencies of the largest peak amplitudes, (3) determine a normalized accuracy error for each of the identified bearings, and (4) select from the list one of the identified bearings having a smallest normalized accuracy error.

The disclosure relates to a head bearing assembly for a dental or surgical handpiece, comprising an outer sleeve, in which at least four radial bearings are arranged, which enclose an axis of rotation and each have their own bearing outer ring or a common bearing outer rings, wherein the bearing outer rings are surrounded radially on the outside by the outer sleeve in the circumferential direction about the axis of rotation, and each radial bearing has at least one or exactly one rolling element row with rolling elements which are arranged one behind the other in the circumferential direction and rolling in the respective bearing outer ring.

The head bearing assembly according to the disclosure is characterized in that the at least four radial bearings have a common, integral bearing inner ring on which the rolling elements are arranged in rolling contact.

A bearing ring having a main part ring provided with at least one groove formed a surface of the main part ring. The bearing ring further provides at least one fiber sensor mounted inside the groove. The bearing ring also include at least one counterpart ring mounted into the groove of the main part ring and coming into contact with the fiber sensor to maintain the fiber sensor against a groove bottom, the counterpart ring being secured to the main part ring.

A computer-implemented method analyzes periodic information in digital vibration data associated with a machine. The method involves generating a spectral periodic information plot (PIP) based on the digital vibration data, and locating amplitude peaks in the PIP at frequencies associated with fundamental frequencies of interest. Peaks occurring at fundamental fault frequencies and at related harmonic frequencies are removed from the PIP, while retaining energy values associated with the removed peaks. Remaining peaks in the PIP are classified as synchronous periodic peaks and non-synchronous periodic peaks. The remaining peaks in the PIP are graphically plotted along with the fault frequencies and related harmonic frequencies in different colors or different line styles on a display device to identify different groups of frequencies of interest. The method implements an algorithm that locates peaks in the PIP at frequencies associated with the fundamental frequencies of interest even though frequencies of the located peaks do not precisely match the fundamental frequencies of interest.

The invention relates to a wheel suspension control system for a vehicle. The system comprises a suspension device, a wheel end bearing, at least one vibration sensor and a processing circuitry. The vibration sensor is provided at or in the wheel end bearing for measuring vibrations propagated from the road wheel to the wheel end bearing when the road wheel travels on a road having surface variations, wherein the vibration sensor is configured to transmit measurement signals representing the measured vibrations. The processing circuitry is configured to receive the transmitted measurement signals and to control at least one suspension parameter of the suspension device based on the received measurement signals. The invention also relates to a vehicle and to a method for controlling a suspension device.

A sensor module includes a metal member having a side surface extending in a ring shape, and a recess recessed from the side surface and extending in a ring shape along the side surface, a resin part filling an inside of the recess, a radiating part provided in the resin part and configured to emit radio waves, a radio communication device provided in the resin part and electrically connected to the radiating part, and a sensor electrically connected to the radio communication device. The metal member is insulated from the radiating part by the resin part, and functions as a passive element.

A strand-guiding section arranged downstream of a continuous casting mould of a continuous casting line. The strand-guiding section has at least one strand-guiding roller supporting a metal strand cast with the continuous casting mould, is mounted in roller bearings in the strand-guiding section, and has at least one sensor device, which has at least one vibration sensor acoustically coupled to the strand-guiding roller or its roller bearings to detect the vibrations occurring with the rotation of the strand-guiding roller in the roller bearings. The strand-guiding roller is cooled internally by a cooling water. The vibration sensor is acoustically coupled to the strand-guiding roller and/or to the roller bearings via the cooling water. The evaluation device determines the status of the at least one roller bearing by evaluating the vibration data.

Provided in one embodiment of the present invention is a bearing assembly comprising: an outer ring in which a hollow is formed and which has a protrusion protruding toward a central direction along the inner circumferential surface and a first ball contact portion and a second ball contact portion that are formed by the protrusion;

an inner ring having a third ball contact portion on the outer circumferential surface and forming a first track portion and a second track portion by being inserted into the hollow; and at least one bearing ball disposed between the outer ring and the inner ring to rotatably connect the outer ring and the inner ring, wherein the bearing balls are arranged in multiple rows in the first track portion and the second track portion and are configured to contact each of the ball contact portions.

A bearing unit for a marble cutting machine, comprising a radially outer ring, rotatable about an axis of rotation (X) of the bearing unit and provided with a radially outer flange portion; a stationary radially inner ring having a raceway and a through hole; a row of rolling bodies interposed between the radially outer ring and the radially inner ring; a seat formed in the radially inner ring and shaped as a portion of a circular crown; and a sensor fit in the seat, wherein a ratio between an internal diameter (D) of the through hole and an axial thickness (t) of the radially inner ring is between 6.7 and 11.1.