Characterization and quantitative evaluation system for fatigue damage state of in-service 16Mn manganese steel bearing part based on WPT (wavelet packet tactic) and DF (double focusing spectrum) tactic

Abstract

The invention discloses a characterization and quantitative evaluation system for a fatigue damage state of an in-service 16Mn manganese steel bearing part based on a WPT (wavelet packet tactic) and a DF (double focusing spectrum) tactic. An acoustic emission wave signal reconstruction unit (1) processes an acquired original wave signal to output an acoustic emission reconstruction signal. A DF estimation module (21) performs Fourier transform to the reconstruction signal to output DF estimation to a normalized processing module (22), performs normalized voltage processing to output opposite angle slice information to a fatigue damage calculation module (23) and calculates material damage to output fatigue damage to a fatigue damage state prediction unit (3) and an early-warning unit (4) for evaluation and alarm. The fatigue damage state of the 16Mn manganese steel bearing part can be evaluated and judged intuitively, quantitatively and in real time, and accordingly early warning is performed, and losses such as device damage and casualties are reduced.

Description

technical field [0001] The present invention relates to the quantitative evaluation of various fatigue damage states, more specifically, it refers to a method of using WPT strategy (ie wavelet packet analysis method) and DF strategy (ie bispectral analysis method) to analyze the in-service 16 manganese steel (namely 16Mn steel) load-bearing parts for quantitative assessment of fatigue damage state 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. Shore equipment may be affected by different fatigue loads during use, and different fatigue loads will lead to different fatigue damage states. The identification of the fatigue damage state of 16Mn steel as the main load-bearing component will affect the service state of the entire shore equipment. is of great significance. [0003] 16Mn steel is a structural steel tha...

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Problems solved by technology

[0010] 2. Since most of the mechanical structural parts are subjected to alternating loads during service, most of the failure forms are fatigue failures

[0011] 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;

[0012] 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, Fatigue damage caused by high-cycle fatigue and low-cycle fatigue is the main damage mode of load-bearing parts of large shore cranes in ports

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