Bearing fault in technical characteristics and application

Bearing on the device in the process of using, often appear some trouble, is inevitable. Importantly, if know bearing is what kind of trouble, ability to take corresponding measures to stop the repair, the bearing network on the basis of experience, the bearing technology mainly has six kinds of trouble, and stop analyzing the six kinds of bearing faults corresponding characteristics and application of technology. Bearing with technical characteristics and application of 1, the vibration diagnosis technology only bearing components is fatigue spalling corrosion, indentation, or parts of the bearing is running in a periodic pulse signal is present. This kind of periodic signal with the device on the bearing seat sensor ( Type speed or acceleration) To accept, after the anatomy of the vibration signal to diagnose the bearing problem. Feature: the vibration diagnosis technology application common; Can be completed online monitoring; Diagnosis, diagnosis theory has been mature. Scope of application: fit bearing fault in rotating machinery monitoring. 2, ferrographic diagnosis technology bearing wear particles and their working conditions have intimate contact. With smooth oil after a strong magnetic field, of wear particles under the action of strong magnetic field, grinding grain on precipitation in iron spectrum according to certain rules, can be made on the ferrographic microscope ferrographic pieces of qualitative inspect or test on quantitative instruments, on the basis of judging the performance of the bearing. Feature: the machine without collapse; Low investment and good effect; Bearing can be discovered early fatigue failure; To do wear mechanisms for discussion. Application range: applicable to smooth bearing fault diagnosis, with smooth oil on lipid smooth bearing is more difficult. 3, smooth and good bearing oil film resistor diagnosis technology, due to the effect of oil film, there is a lot of resistance between inner and outer ring. Through measuring the resistance of the bearing inner and outer ring, can be recognized for bearing abnormal. Features: can be applied to different working condition the same criteria. Flake on appearance, indentation and crack the diagnosis of abnormal effect is poor. Application range: applicable to the axis of rotation exposed. 4 monitoring and diagnosis technology, optical fiber monitoring is a kind of signal extracted directly from the bearing ring looks diagnostic technique. Made of optical fiber bundle displacement sensor consists of fiber bundle and acceptance of fiber bundle. Light by firing fiber bundle sensors end face and the clearance of bearing ring looks reflected, by the acceptance of fiber bundle, converted into electric signal by photoelectric component, after analysis of the electrical signal disposal, can evaluate bearing is stopped. Features: high flexibility fiber optic displacement sensor; To extract the signal directly from the bearing appearance, improved signal-to-noise ratio; Can directly reflect the rolling bearing manufacturing quality, appearance and wear level, load, smooth and clearance status. Application range: applicable to sensor device can be within the bearing seat of machine. 5, if have some abnormal temperature diagnosis technology bearing, bearing of the temperature change will attack. Therefore, according to the change of temperature, can end of the bearing fault diagnosis, but for anomaly discrimination ability is very low. Features: simple diagnosis; For bearing burn discriminant effect is better. Application range: applicable to the machine simple routine diagnosis of bearing. 6, the acoustic emission diagnosis technology of metal materials due to internal lattice dislocation and grain boundary sliding or due to the outbreak of internal crack and developed, and the demand the release of elastic wave, this phenomenon is called acoustic emission phenomenon. Bearing produces peeling or crack, can produce different types of acoustic emission signal, on the basis of bearing condition assessment. Features: rapid diagnostic and cumbersome; Can online monitoring. Application: in recent years, in order to develop new technology, less used in bearing condition monitoring.