Ultrasonic Thickness Inspection of Oil Pipeline Based on Marginal Spectrum of Hilbert-Huang Transform
نویسندگان
چکیده
Measurement of pipeline wall thickness is one of the main contents of nondestructive inspection on offshore oil pipeline. A novel approach based on the marginal spectrum of the Hilbert-Huang transform is proposed for ultrasonic echo signal processing. The demodulated ultrasonic echo signal contains the thickness information of pipeline wall, which is an approximately periodic signal. The marginal spectrum is obtained by applying Hilbert-Huang transform to the ultrasonic echo signal. It effectively reveals the information of wall thickness of pipeline. The relation between the main frequency and the wall thickness of pipeline is established to calculate the wall thickness. The validity and the robustness of the proposed method are shown by signals collected by ultrasonic pipeline intelligent gage.
منابع مشابه
An Effective Method on Reducing Measurement Noise Based on Hilbert-Huang Transform
For non-stationary signal in ultrasonic inspection, an effective denoising method based on Hilbert-Huang transform (HHT) is presented and a few key questions using the HHT method are discussed. The overall scheme of HHT includes two parts which are empirical mode decomposition (EMD) algorithm and a sum of intrinsic mode functions (IMF). Through the EMD process, individual IMF can be found. The ...
متن کاملFaults Diagnostics of Railway Axle Bearings Based on IMF’s Confidence Index Algorithm for Ensemble EMD
As train loads and travel speeds have increased over time, railway axle bearings have become critical elements which require more efficient non-destructive inspection and fault diagnostics methods. This paper presents a novel and adaptive procedure based on ensemble empirical mode decomposition (EEMD) and Hilbert marginal spectrum for multi-fault diagnostics of axle bearings. EEMD overcomes the...
متن کاملComparative study of noise reduction in ultrasonic inspection system
The effective noise reduction schemes in ultrasonic inspection have shown significant role for detection of flaws in materials. This paper presents the comparative result of noise reducing schemes based on Hilbert-Huang transform and Wavelet transform. The basic principle of HHT scheme includes two parts which are empirical mode decomposition (EMD) algorithm and a sum of intrinsic mode function...
متن کاملEvaluation of Acoustic Emission Inspection of Oil Tank Floor via Tank Bottom Plates Thickness Measurement
This paper deals with an inspection of defects including corrosion and leakage by Acoustic Emission (AE) in an oil tank floor. In contrast to intrusive methods such as magnetic flux leakage, eddy current or ultrasonic, there is no need to emptying and entering the tank in AE method in order to inspection. In this research AE investigation and AE source location is presented in detail. The resul...
متن کاملAn adaptive ultrasonic backscattered signal processing technique for instantaneous characteristic frequency detection.
Ultrasonic diagnosis that is convenient and nondestructive to the human body is widely used in medicine. In clinical, ultrasonic backscattered signals characteristics are utilized to acquire information of the human body tissues to perform diagnosis. In this paper, an adaptive ultrasonic backscattered signal processing technique for instantaneous characteristic frequency detection based on the ...
متن کامل