We all have a strong curiosity about the coming of the era of high-tech intelligentization. Can the scenario described be realized? At present, intelligence is a hot topic in politics and industry. What is intelligence? It is the attribute that things have the ability to actively meet the various needs of people under the support of technologies such as network, big data, Internet of Things and artificial intelligence. As an important part of machinery, bearings must also keep pace with the times and rush towards intelligent development.
What is a smart bearing? Bearings are known as "joints of machines". Before defining smart bearings, explain "smart machines". There are also many explanations for intelligent machines, most of them with a future color. An intelligent machine is defined as: "a machine that uses sensors to monitor the environment and adjust its operation to complete specific tasks in an uncertain and variable environment." An intelligent machine is a mechanical system that can achieve self-care, but it does not mean that an intelligent machine requires no maintenance (future dream), but uses its built-in intelligent program to detect potential problems and simplify maintenance intervals and procedures.
Similarly, there are many kinds of definitions for the definition of smart bearings. The research team of Xi'an Jiaotong University in China defines it as: integrating sensing devices and regulating devices for different purposes on the basis of traditional bearings, so that they can be combined into one to form a unique bearing. Structural unit, using information processing, automatic control and other technologies to realize real-time online monitoring of bearing running status, fault detection and real-time status control.
Intellent bearing is a system, which has the following characteristics:
1) Self-sensing: Based on micro-sensor technology, it integrates multi-source service information collection and sensing devices such as speed, vibration, temperature, load, and lubrication status. The sensor is highly integrated and can serve outer, inner, cage, and even rolling elements The monitoring and identification of information has a high degree of information coverage; because the sensor is directly integrated into the bearing body, the signal-to-noise ratio of the monitoring signal is high, and the abnormality of the equipment and bearing status can be found more sensitively and earlier.
2) Self-decision: Based on massive bearing service data, combined with big data and deep learning technology, extract service information characteristics under bearing health status, identify current operating status and bearing historical data trends, evaluate bearing service health status, Abnormal working conditions make early warning judgments.
3) Self-regulation: On the basis of bearing service status monitoring, evaluation and diagnosis, combined with the study of the rolling bearing service status mechanism, the service status of the rolling bearing is adjusted through the amount of lubricant, cooling parameters, preload state and working conditions (such as speed, cutting amount) etc. To improve the safety and reliability of major equipment in service and the predictability of maintenance.
Since the 1980s, SKF began to study smart bearings (also called sensor bearings), which are mainly used in automobile anti-lock systems (ABS). Through the monitoring and analysis of bearing speed, temperature, vibration and load data, to form feedback. Internationally renowned bearing companies have been making continuous progress in the research of smart bearings.
Human wisdom is unlimited. With the advent of smart bearings, it means that industrial technology has risen to a new level. The era of high-tech intelligence is not a dream. China is also actively conducting research, and college tutors are also constantly exploring. For bearings, it is mainly aimed at the signal acquisition, monitoring and analysis of embedded intelligent bearings. I believe that after continuous trial and innovation, I am always ready to stand at the forefront of the industry when technological breakthroughs and application requirements increase.
