Apparatus and method for monitoring the state of a roller bearing
A method and an apparatus are disclosed for monitoring the state of a roller bearing. The apparatus includes a vibration sensor, configured to detect vibrations which occur during operation of the bearing, and to generate a first signal as a function of the detected vibrations. A diagnosis electronics system is configured to output an item of information about a state of the bearing on the basis of the first signal and at least one limit value stored in the diagnosis electronics system. A sound emission sensor is provided, configured to pick up noises, produced in the event of plastic deformation of the bearing at least in regions. A second signal is then transmitted to the diagnosis electronics system, taking into account the picked-up noises.
1. An apparatus for monitoring the state of a roller bearing comprising:
a vibration sensor configured to detect vibrations which occur during operation of the bearing and configured to generate a first signal as a function of the detected vibrations;
a diagnosis electronics system configured to output an item of information about a state of the bearing on the basis of the first signal, generated by the vibration sensor, and of at least one limit value, stored in the diagnosis electronics system; and
a sound emission sensor configured to pick up noises produced in an event of plastic deformation of the bearing at least in regions, a second signal being transmittable to the diagnosis electronics system, taking the picked-up noises into account, wherein the diagnosis electronics system is designed such that the stored limit values are changeable, taking into account the received second signal, and adjusted limit values are generateable as a result.
2. The apparatus of claim 1 , wherein the sound emission sensor is a piezoelectric sensor or a sensor with a micro-electro-mechanical system (MEMS).
3. The apparatus of claim 1 , wherein the sound emission sensor has a sensitivity starting from a frequency of 80 kHz.
4. The apparatus of claim 3 , wherein the sound emission sensor has a sensitivity in a frequency range of from 100 to 130 kHz.
5. The apparatus of claim 1 , wherein the diagnosis electronics system is designed to classify the received second signals in respect of at least one of amplitude or frequency per time interval, and generate a characteristic value on the basis of the classification.
6. The apparatus of claim 1 , wherein at least three different states of a bearing are ascertainable and outputtable by the diagnosis electronics system.
7. The apparatus of claim 1 , wherein the sound emission sensor and the vibration sensor are formed in a common housing.
8. A method for monitoring vibration of a roller bearing, comprising:
detecting vibrations, which occur during operation of a bearing, using a vibration sensor;
generating a first signal as a function of the detected vibrations;
transmitting the first signal to a diagnosis electronics system in which an item of information about a state of the bearing is ascertained and output on the basis of the first signal and at least one limit value stored in the diagnosis electronics system;
picking up noises, produced in the event of plastic deformation of the bearing at least in regions, using a sound emission sensor; and
generating and transmitting a second signal to the diagnosis electronics system, taking into account the picked-up noises, wherein the diagnosis electronics system is designed such that the stored limit values are changeable, taking into account the received second signal, and adjusted limit values are generateable as a result.
9. The method of claim 8 , wherein the received second signals are classified in accordance with at least one of amplitude or occurrence per time interval in the diagnosis electronics system, and wherein at least one characteristic value is ascertained on the basis of the classification.
10. The method of claim 9 , wherein the received second signals are classified in the diagnosis electronics system, taking into account at least one of a number of pulses per time interval, an average amplitude of the pulses per time interval, a sum of the pulse amplitudes since a start point of a measurement operation or an increase in the sum of the pulse amplitudes since a start point of a measurement operation, and wherein a characteristic value is generated on the basis of the classification.
11. The method of claim 8 , wherein the received second signals are classified in the diagnosis electronics system, taking into account at least one of a number of pulses per time interval, an average amplitude of the pulses per time interval, a sum of the pulse amplitudes since a start point of a measurement operation or an increase in the sum of the pulse amplitudes since a start point of a measurement operation, and wherein a characteristic value is generated on the basis of the classification.