Aktiebolaget Skf

Aktiebologet Skf

Allan Thomson

Andrew Campbell

Joseph Erskine

Andreas Clemens Van Der Ham

Sebastian Ziegler

Gerard McGoogan

Mairi Joan Torrie

Lukas Koeping

Keith Hamilton

Tim Smith

Hans Soetens

Julian Franchitti

Verena Slawik

Andreas Clemens Von Der Ham

Donald Howieson

Maksym Boreiko

Gerard Mcgoogan

Mairi J Torrie

A method for performing bearing defect auto-detection provides an algorithm for processing condition monitoring data including vibration harmonics of at least one bearing coupled to a rotatable shaft, the bearing having an inner and an outer ring. The algorithm is used to confirm with high degree of confidence that a bearing defect is present or not.

System and method for bearing defect auto-detection

A piezoelectric strain sensor unit for a rolling bearing includes a piezoelectric strain sensor, and a sensor holder provided with a main body having a front face intended to be into contact with a component of the rolling bearing and a rear face, and with at least two flexible arms mounted on the main body and supporting opposite ends of the piezoelectric strain sensor, the piezoelectric strain sensor being axially located on the side of the rear face of the main body while remaining spaced apart from the rear face. The sensor holder is provided with a central pin which protrudes axially with regard to the front face of the main body and which is axially moveable with regard the main body, the central pin axially abutting onto the piezoelectric strain sensor.

Piezoelectric strain sensor unit for a rolling bearing

A bearing defect auto-detection system includes a processor to receive condition monitoring data that includes vibration harmonics corresponding to a bearing coupled to a rotatable shaft. The processor performs a pattern sweeping process that sweeps a pattern through both a speed range and a bearing class defect frequency range. In response to the test pattern having at test pattern sideband, the processor also sweeps the test pattern sideband through a sideband range, against the condition monitoring data to determine the pattern's fundamental frequency and sideband frequency. The processor determines a most probably bearing defect type associated with the bearing based on the best match value amongst results associated with the test pattern. The processor also performs a post-sweep logic process that compares a number (N) of most recent results from the pattern sweeping process to at least one conditional test to confirm the most probably bearing defect type is present.

Bearing defect auto-detection by swept pattern followed by post-sweep logic filter

Condition monitoring of equipment, machines, and parts with rotational or linear movement that constantly changes speed, starts and stops at different positions, that does not make complete rotations is done according to the invention by binning vibrational data according to position and thereafter performing a Fourier transformation for analysis. Among other things this avoids smearing in the frequency domain due to speed changes.

Condition monitoring

A method for detecting a load distribution in a roller bearing having at least one row of rollers and a strain sensor attached to a first ring, wherein the first ring is configured to rotate relative to a second ring. The method comprises steps of: (a) detecting peak heights and peak positions in roller load induced strain signals obtained from the strain sensor, and (b) calculating a load acting on at least one angle range of the second ring using peak heights of a plurality of peak positions falling in the angle range.

Method and data processing device for detecting a load distribution in a roller bearing

A method and apparatus of condition monitoring and detection of vibration generated from at least two different sources using a single sensor/transducer is provided. The method and apparatus provides switchably adapting signal processing, such as amplification and frequency filtering, to one at a time of the at least two different signal sources. An example of which is vibration sources. This adapts the analogue signal from the sensor/transducer to the analogue to digital converter and any further optional analogue signal processing, so that it is possible to maximize use of available dynamic range of these and without any saturation of these. Suitably, the signal processing to analyze the vibration signals is also appropriately adapted to the vibration source in question.

Method and device of processing of vibration sensor signals

A process for estimating the lubricant viscosity in a bearing comprises the steps of: monitoring acoustic emissions from the bearing with an acoustic emission sensor; monitoring the bearing for at least one of speed, load and temperature; demodulating the acoustic emission signal from the acoustic emission sensor; calculating the root mean square values of the demodulated acoustic emission signal and storing the calculated root mean square values; aligning the root mean square values with values of one or more of speed, load and temperature and storing the aligned values; using the aligned root mean square values, and at least one of speed, load and temperature in a model which calculates viscosity and/or viscosity ratio from the aligned values.

Viscosity estimation from demodulated acoustic emission

A method for processing data obtained from a condition monitoring system, which comprises the step of obtaining dynamic signal data in the form of a time waveform and/or a Fast Fourier Transform (FFT) from at least one sensor. The method comprises the step of extracting at least two parameters from the time waveform and/or FFT and transmitting or displaying the at least two parameters instead of the dynamic signal time waveform data and/or a Fast Fourier Transform (FFT).

Method, computer program product and system

Embodiments provide a couplant and an arrangement of a couplant, a transducer, and a construction component. The couplant is adapted to couple the transducer to the surface of the construction component. The couplant provides 36% to 40% mass portion of hard metal.

Couplant and arrangement of couplant, transducer, and construction component

A method for detecting roller spacings in a roller bearing having at least one row of rollers wherein the rollers in the row are held by at least one cage, preferably by a plurality of roller cages. The method uses roller load induced strain signals for determining the roller spacings.

Method and data processing device for determining a spacing of rolling elements

A rolling element bearing may potentially experience uneven loads across the length of its rolling elements due to either one or more of design errors, manufacturing errors or installation errors or any combination of these errors. The invention enables a physical measurement to be carried out on these potentially uneven loads on the rolling elements of a rolling element bearing by a technique that makes use of two or more load or strain sensors for measurement of roller load induced strain signals along a length of a rolling element in a rolling element bearing with rollers, such as cylindrical rollers for bearing arrangements.

A sensor device for monitoring a component, the sensor device providing a zinc alloy mounting element comprising a bracket and a bolt. The zinc alloy of the zinc alloy mounting element increases a rigidity of the mounting element, the zinc alloy having less than 5% aluminum by weight and less than 5% copper by weight; and at least one sensor coupled to the zinc alloy mounting element for mounting to the component of interest. The at least one sensor measures at least one condition parameter of the component.

Sensor device with mounting element

A process for monitoring for the presence of fretting and/or smearing with false brinelling potential in a non-rotating bearing provides the steps of: acquiring acoustic emission data emanating from the non-rotating bearing under an alternating load; and comparing the acoustic emission data with a threshold indicative of fretting and/or smearing.

Growing community of inventors

Lanark, United Kingdom

Allan Thomson