A new signal processing method for the nondestructive testing of a steel wire rope using a small device

Zhang, Donglai; Zhang, Enchao; Pan, Shimin

doi:10.1016/j.ndteint.2020.102299

Cited by 22 publications

(9 citation statements)

References 10 publications

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“…The above method needs to magnetize the suspender via a strong magnetic field. The magnetization process requires heavy magnetization equipment (as shown in Figure 5), and the detection process is relatively complex [30]. Based on the principle of magnetic Because the arch bridge suspender uses steel, which is a magnetic material, as the base material, magnetic flux leakage detection technology has also been widely used in suspender damage detection.…”

Section: Suspender Inspectionmentioning

confidence: 99%

A Review on Damage Monitoring and Identification Methods for Arch Bridges

et al. 2023

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The damage monitoring and identification of arch bridges provide an important means to ensure the safe operation of arch bridges. At present, many methods have been developed, and the applicability and effectiveness of these methods depend on the damage type, structural configuration and available data. To guide the practical application of these methods, a systematic review is implemented in this paper. Specifically, the damage monitoring and identification methods of arch bridges are divided into the damage monitoring of local diseases and damage identification of overall performance. Firstly, the research on the damage monitoring of the local diseases of arch bridges is reviewed. According to the disease type, it is divided into four categories, including suspender inspection, void monitoring, stress detection and corrosion detection. For each disease, this paper analyzes the principles, advantages and shortcomings of various methods. Then, the damage identification methods of the overall performance of arch bridges are reviewed, including masonry arch bridges, steel arch bridges, reinforced concrete arch bridges and concrete-filled steel tubular arch bridges. And the commonly used damage indexes of damage identification methods are summarized. This review aims to help researchers and practitioners in implementing existing damage detection methods effectively and developing more reliable and practical methods for arch bridges in the future.

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Section: Suspender Inspectionmentioning

confidence: 99%

A Review on Damage Monitoring and Identification Methods for Arch Bridges

et al. 2023

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“…WTD is widely used in processing nondestructive test signal of wire rope [36][37][38], but different wavelet basis has different denoising effects [39]. Here, db5 wavelet basis is chosen for its excellent noise reduction effect in wire rope signal processing [40].…”

Section: Compare With Wtd and Vmd On Processing Nondestructive Test S...mentioning

confidence: 99%

A novel adaptive moving average method for signal denoising in strong noise background

et al. 2021

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The moving average (MA) method has been widely used in signal processing, but it has problems of the dead zone and the fixed window. In this paper, an adaptive moving average (AMA) filtering method is proposed, which can sniff the inherent characteristics of the signal and assign time-varying optimal parameters to signal processing, hence solve dead zone and the fixed window problems. Firstly, this paper builds the theoretical framework of AMA, including the trial steps and optimization of the necessary parameters. To verify the effectiveness of the AMA, three signal processing methods are taken as comparison methods to process the noisy simulation and experimental signals. Comparison methods includes the MA, variational mode decomposition (VMD), and wavelet threshold denoising (WTD). Signals processed include linear frequency modulation (LFM) simulation signal, aperiodic square wave (ASW) simulation signal, LFM experimental signal produced by a signal generator, and nondestructive test signal of wire rope. Also, the output is analyzed qualitatively and quantitatively with signal-to-noise ratio (SNR), cross-correlation coefficient, amplitude error, and a newly defined local coincidence index. Compared to MA, VMD and WTD, the proposed AMA can solve the dead zone problem, recover noisy signal with higher SNR, cross-correlation coefficient, and lower amplitude error. These results indicate that AMA is a promising method in signal processing.

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“…Steel wire ropes have important applications in mining, elevator and other scenes. Considering the loading condition and the harsh working environment, it is necessary to monitor and inspect the steel wire rope regularly [ 1 , 2 , 3 ]. As a common damage of the steel wire rope, the broken wire will reduce the residual strength of the rope and affect the production safety [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%