After heat treatment, the bearing ring needs to be grinded, which is an important part of ensuring bearing accuracy. At the same time, the organization structure of the raw materials becomes denser and the flow linearity becomes better, which can improve the reliability and service life of the bearing. After grinding , The production process of bearing rings is basically completed. This article is reproduced from:

The heat treatment link is the high temperature treatment of the bearing ring after forging and turning, which directly affects the carburization in the bearing ring Uniformity can improve the wear resistance and hardness of the bearing, and is also an important link that affects the reliability and life of the bearing.

The specific production process of the bearing: raw materials-inner and outer ring processing, steel ball or roller processing, cage (stamping or solid) adding Work-bearing assembly-bearing finished products in the bearing production process, the most critical are the following links: For more information, please continue to pay attention to our website, we will serve you wholeheartedly Service! Welcome to pay attention to our website! Pay more attention to needle bearings!. In addition, the quality of the forging process will directly affect the Mechanical roller bearings utilization rate of raw materials, thereby affecting production costs.　　

After the raw material is forged, the bearing is formed Ferrule blank . Forging link Forging link is an important link to ensure the reliability and life of the bearing

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Need to be cautious when selecting needle roller bearings.. Needle roller bearings are one of the most important parts of today's industrial production. 　　

As long as the above factors are fully considered, the appropriate needle roller bearings can be selected through comparison and discussion. Therefore, it is necessary to fully understand the structure and characteristics of the selected needle roller bearing and use the equipment correctly.

The size, direction and nature of the load of the needle roller bearing; The rotation speed and the inner ring is still rotating with the outer ring; The required life of the needle roller bearing;  The ambient temperature of the needle roller bearing; 

Bearing accuracy; the size of the conflict;  noise requirements; vertical and horizontal shafts;  smooth method Mechanical roller bearings and sealing equipment;  equipment and disassembly method; equipment space; 

Machining accuracy, rigidity and raw materials of shaft and bearing seat;  The cost of advertising gusset machine. How to choose the most suitable needle roller bearings is crucial. When selecting needle roller bearings, it is necessary to fully consider the following elements

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Therefore, the robust data processing method is very important.. Vibration is an important performance index of rolling bearings, which comprehensively reflects the manufacturing, installation, lubrication and other factors of the bearing, and affects the dynamic characteristics, life and reliability of the bearing. According to the data robustness principle of modern statistics, the robustness of data is one of the most basic conditions for data analysis-the more robust the data, the more reliable the evaluation results obtained. Reasonable evaluation of the vibration performance variation of rolling bearing bearings has very important application value.

Assessment. It can discover the hidden danger of bearing failure in time and take measures in advance to avoid major safety accidents. These properties have an important impact on the operating performance of the mechanical system. The performance variation of rolling bearings is characterized by the variation rate, which is the ratio of the number of variation data to the total number of data. This chapter organically integrates these two optimal estimates and complements each other's advantages. It is difficult for actual engineering technical problems Mechanical roller bearings to meet this condition and lacks practicality. For this reason, based on the principle of data robustness in modern statistics, this chapter proposes a method for evaluating the variation of the vibration performance of rolling bearings to detect the performance degradation of rolling bearings during service.

The evaluation method of rolling bearing performance variation proposed in this chapter does not need to assume the performance degradation model, distribution law, probability density function and threshold value in advance. In this chapter, the variation of rolling bearing performance refers to the degree of change and degradation of rolling bearing performance during the experiment and service period; the median refers to the absolute value of the rolling bearing vibration data, and then sort it in ascending order to obtain the absolute value sorting sequence , And then according to the median of the absolute value sorting sequence obtained by statistics; the average refers to the average of the improved data sequence obtained according to the Huber M estimation principle; the closeness of the average to the median is the average of the improved data sequence Characterization of the absolute difference from the median of the absolute value sorted sequence.

After robust processing of the actual measured bearing vibration data, the overall intrinsic interval is directly obtained, and then the performance degradation is implemented. Analysis method of rolling bearing vibration characteristic parameters based on phase space. The variation data refers to the data that is not in the overall intrinsic interval; the overall intrinsic interval is the intrinsic reflection of the data and is robust The data distribution interval after processing. In the process of data robustness, the median is the most robust estimate, and the average is not a robust estimate, because the average is easily affected by outliers.

It proposes a robust data processing method that can reflect the location characteristics of the data as well as the overall data situation, and use the liver to evaluate the variability of rolling bearing vibration data. Huber M estimation and median estimation are the two optimal estimations under the principle of minimizing and maximizing data robustly in modern statistics. The evaluation method of the vibration performance variation of rolling bearings proposed in this chapter includes the variation rate and the overall intrinsic interval. The closer the average is to the median, the more robust the data.

In this chapter, the closeness between the average value and the median is used as a judgment element to detect the performance degradation of rolling bearings during service, which is a robust estimation. These methods need to assume in advance specific performance degradation models, distribution laws, probability density functions and thresholds, and do not involve the robustness of rolling bearing vibration data. The median estimate is only a robust data that can reflect the location characteristics of the data, but it cannot reflect the overall data trend.he performance of rolling bearings mainly includes vibration, noise, friction torque, temperature rise, rotation accuracy, etc.

Huber M estimation can reflect the overall data situation, has a critical value, and is centered on the data zero. At present, the methods to study the vibration performance of rolling bearings mainly include time-domain characteristics of bearing vibration signal data and neural network method, spectral analysis method of bearing vibration signal, gray bootstrap method of bearing vibration data, and bearing vibration characteristic analysis method based on Hilbert-Huang. It is an odd function about the symmetry of the zero center

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