An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles

In this study, vibration based non-destructive testing (NDT) technique is adopted for assessing the condition of in-service timber pole. Timber a natural material, and hence captured broadband signal (induced from impact using modal hammer) greatly affected by uncertainty on wood properties, structure, environment. Therefore, advanced processing essential in order to extract features associated with health poles. Hilbert–Huang Transform (HHT) Wavelet Packet (WPT) are implemented conduct time-frequency analysis acquired related three poles unserviceable Firstly, mother wavelet selected WPT maximum energy Shannon entropy ratio. Then, raw divided into different frequency bands WPT, followed reconstructing coefficients dominant bands. The reconstructed then further decomposed mono-component signals Empirical Mode Decomposition (EMD), known as Intrinsic Function (IMF). Dominant IMFs correlation coefficient method instantaneous frequencies those generated HHT. Finally, anomalies plots efficiently utilised determine vital pole condition. results study showed that HHT pre-processor has great potential assessment utility