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Fuzhou Jinquan Metallurgical Machinery Equipment Co.,Ltd
Fujian Tianfeng Machinery Co., Ltd.
Address: No. 301, Xujia Village, Jingxi Town, Minhou County, Fuzhou City, Fujian Province, China
Fuxing Avenue, Jinan District, Fuzhou City, Fujian Province, China
Mobile phone: +86 591 83629866、83622555
Fax：+86 591 83629866、83622555
Condition Monitoring and Failure Analysis of Rolling Mill Machines of Two high openable housing mill with bottom screw up
At present, the degree of automation of the Rolling Mill Machines of Two high openable housing mill with bottom screw up has reached a high level. Its structure is complex, and the actual operation process has the characteristics of high temperature, high pressure, and high speed. Once it fails, a chain reaction will occur, which may cause damage to the entire equipment. Not only cause huge economic losses, but also may endanger personal safety. Practical experience and historical lessons have made people more and more aware that to ensure the safety of the rolling mill and the stability of product quality, it is necessary to conduct state monitoring and fault diagnosis of the entire rolling mill. The state monitoring of the rolling mill is to monitor the main process variables involved in the rolling mill in real time to determine whether a failure occurs. Based on the fault diagnosis of the rolling mill, the main research is how to detect, separate, identify and recover the fault of the rolling mill.
Condition monitoring of Rolling Mill Machines of Two high openable housing mill with bottom screw up
The main contents of the state monitoring of the Rolling Mill Machines of Two high openable housing mill with bottom screw up are as follows:
1) State monitoring of the power parameters of the Rolling Mill Machines of Two high openable housing mill with bottom screw up: including rolling pressure, rolling torque, looper torque, looper hydraulic cylinder pressure, looper angle, etc. of each stand.
2) Monitoring of rolling process status: including strip speed, temperature, thickness, roll gap, work roll speed, etc. at the entrance of finishing rolling.
3) Condition monitoring of rolling mill equipment: including the temperature and oil temperature of each main bearing, the vibration of each component of the rolling mill, the axis displacement of the motor rotor, and the wear of main parts (such as gears and bearings, etc.).
Main breakdown classification of rolling mill
In order to reasonably classify the status monitoring and fault diagnosis methods of the rolling mill, this paper divides the faults of the Rolling Mill Machines of Two high openable housing mill with bottom screw up into three levels: equipment failure, system failure and product quality failure.
1) Equipment failure
Mainly refers to the various mechanical failures of the production equipment included in the rolling mill, such as electro-hydraulic servo valves, gears and bearings.
2) System failure
Mainly refers to the various failures of the rolling mill control system due to process design problems or misoperation of workers deviating from the normal process regulations, which makes it difficult for the system to operate in accordance with the instructions of the host computer, so that production cannot be performed normally.
3) Product quality failure
Mainly refers to the abnormal quality of rolled products due to disturbances and failures in the rolling mill equipment or system, such as failures such as the thickness of the strip product or the failure of the plate shape accuracy to meet the requirements.
Analysis of data characteristics of rolling process variables and analysis of failure characteristics of rolling mills
Data dynamic characteristics refer to the characteristics related to the time series of the observation data at a certain moment and the observation data sampled in the past. In the steel rolling process, the sampling time interval of each sensor is very short, and there are energy storage links and a closed-loop control system, so the steel rolling process data has obvious dynamic characteristics.
The large-scale nature of data means that in the steel rolling process, each production process involves a large number of equipment and devices, including multiple subsystems and operating areas.
There is a complex relationship between rolling mill failures and failure signs. For example, roll eccentricity failures are caused by overruns of rolling force, roll gap, product thickness deviation, etc., and overruns of Rolling Mill Machines of Two high openable housing mill with bottom screw up rolling speed parameters can also cause roll surfaces Wear and tear, mechanical failure of the motor, abnormal current and voltage, etc., belong to multiple symptoms and multiple failures. Moreover, when multiple faults occur at the same time, they are often coupled together, and the same signal corresponding to the same fault will have different symptoms. Therefore, there is also an unclear correspondence between symptoms and faults.