Double-spectrum analysis-based fatigue damage state characterization and quantitative evaluation system for in-service 16 manganese steel bearing member

Abstract

The invention discloses a double-spectrum analysis-based fatigue damage state characterization and quantitative evaluation system for an in-service 16 manganese steel bearing member. An original waveform signal extracting unit (1) of the system performs analog-to-digital conversion on multipath sensing information Sn and then outputs sound emission waveform information f0 (T); a double-spectrum evaluation module (21) processes the sound emission waveform information f0 (T) by adopting a double-spectrum analysis method to acquire double-spectrum evaluation B (omega 1 and omega 2); then, a double-spectrum diagonal slice module (22) performs diagonal slice analysis on the double-spectrum evaluation B (omega 1 and omega 2) to acquire double-spectrum diagonal slice information omega (F); and finally, a fatigue damage state characteristic peak frequency analysis module (23A) processes the diagonal slice information omega (F) to output a fatigue damage state matrix P=[F0, F, Fm] for a fatigue damage grade evaluation unit (3) and an early warning unit (4) to perform evaluation and alarm. The system monitors the in-service 16Mn steel bearing member by sound emission technology to acquire fatigue damage state information expressed by sound emission signals, quantitatively evaluates the fatigue damage state of the bearing member by adopting the double-spectrum analysis method, and evaluates the fatigue damage grade. The system can be used for intuitively and quantitatively evaluating and judging the fatigue damage state of the 16Mn steel bearing member in real time so as to make early warning and reduce the loss of equipment, casualty and the like.

Description

technical field [0001] The present invention relates to a kind of quantitative evaluation of fatigue damage state, more particularly, refers to a kind of quantitative evaluation of fatigue damage state of 16 manganese steel (16Mn steel) load-bearing parts in service in port large-scale mechanical equipment by adopting bispectrum analysis method evaluation system. Background technique [0002] 16Mn steel is often used as the key load-bearing parts for shoreside equipment in large-scale mechanical equipment in ports: such as ship loaders, ship unloaders, grabs, etc. After the shore equipment has been used for a period of time, the fatigue damage state of the 16Mn steel as the main load-bearing component will have an important impact on the service life of the entire shore equipment. [0003] 16Mn steel is a low-alloy steel developed in combination with our country's resources (manganese is a rich element in our country), and has been widely used. After the 16Mn steel load-be...

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Problems solved by technology

[0008] 2. Since most of the mechanical components are subjected to alternating loads during service, most of the failure forms are fatigue failures

[0009] 3. The current damage detection methods have different degrees of limitations in the detection of large steel structures. For example, ultrasonic testing and magnetic particle testing are used for partial sampling testing of cranes, which is blind, prone to missed inspections, and long detection cycles. , heavy workload and high cost;

[0010] 4. The early warning and evaluation system is not perfect at present, and the analysis and discrimination technology currently applied cannot make accurate early warning and safety assessment for the fatigue damage of the load-bearing parts of the crane, especially the safety accidents of large-scale mechanical equipment in my country's ports occur from time to time. Among them, Tensile fatigue damage caused by overloading is one of the main damage modes of load-bearing parts of large shore cranes in ports

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