Bolt Detection Signal Analysis Method Based on ICEEMD

TL;DR

This paper introduces an ICEEMD-based signal analysis method for bolt detection, effectively separating signals and identifying bolt end reflections under noisy conditions, enhancing construction safety testing.

Contribution

The paper presents a novel ICEEMD-De method combining ICEEMD, approximate entropy, and wavelet de-noising for improved bolt signal analysis.

Findings

Effective separation of IMFs in noisy environments

Accurate identification of bolt end reflection signals

Enhanced reliability of bolt detection signals

Abstract

The construction quality of the bolt is directly related to the safety of the project, and as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal analysis. The ICEEMD is used in order to decompose the anchor detection signal according to the approximate entropy of each intrinsic mode function (IMF). The noise of the IMFs is eliminated by the wavelet soft threshold de-noising technique. Based on the approximate entropy, and the wavelet de-noising principle, the ICEEMD-De anchor signal analysis method is proposed. From the analysis of the vibration analog signal, as well as the bolt detection signal, the result shows that the ICEEMD-De method is capable of correctly separating the different IMFs under noisy conditions, and also that the IMF can effectively identify the reflection signal of the end of the bolt.