Modeling and Calculation of Dent Based on Pipeline Bending Strain

Feng, Qingsong; Li, Rui; Zhang, Hong

doi:10.1155/2016/8126214

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…This enables the acquisition of crucial information regarding the attitude, velocity and position of the ILI tool [41]. As shown in figure 1, the pipeline features are mainly represented by the three-axis angular variation of the ILI tool [42,43]. The pipe bending strain data is obtained by solving the triaxial angle data detected by the IMU, and the following equation calculates the pipe bending strain.…”

Section: Bending Strain Calculation Methodsmentioning

confidence: 99%

An intelligent feature recognition method of natural gas pipelines based on shapelet and blending fusion model

Ma,

Hu,

Wang

et al. 2023

Meas. Sci. Technol.

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Despite the availability of pipeline bending strain detection technologies based on inertial measurement unit (IMU), there is a lack of intelligent and efficient methods for accurately identifying pipeline features by bending strain. Therefore, this paper proposes a novel method for identifying features in natural gas pipelines based on shapelet and blending fusion model. Specifically, the shape features of the bending strain data are extracted and transformed by shapelet. Then a blending fusion model with SVM, Decision Tree and Gradient Boosting as base learners and Random Forest as meta-learner is constructed. Finally, the extracted features are fed into the blending fusion model for pipeline feature recognition. The model is trained with bending strain data obtained from a real natural gas pipeline, the results indicate that the recognition accuracy of the proposed method is 97.17%. Compared with other models, the superiority of the proposed model is verified, and it is proved that the proposed method has better accuracy than the existing models (over 1.3%). Overall, the method proposed in this paper can be effectively combined with the in-line inspection system to provide a reference for pipeline companies to carry out pipeline integrity management.

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Section: Bending Strain Calculation Methodsmentioning

confidence: 99%

An intelligent feature recognition method of natural gas pipelines based on shapelet and blending fusion model

Ma,

Hu,

Wang

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…The Azimuth (A) is also measured by IMU tool which is the angle between the pipe direction and north. From equation (8), it can be seen that the pipeline bending strain can be calculated with the attitude data (pitch and azimuth), which can be acquired with an IMU tool.…”

Section: Calculation Methods Of Pipeline Bending Strainmentioning

confidence: 99%

“…The IMU is composed of inertial devices such as accelerometer and gyroscope, the gyroscope is used to measure the angular velocity. From equation (8), the curvature k is affected by the measurement of angle of pitch and azimuth. The angle of pitch and azimuth is obtained by integrating the angular component velocity.…”

Section: Calculation Methods Of Pipeline Bending Strainmentioning

confidence: 99%

“…6,7 Pipeline centerline ILI based on inertial navigation is an effective method for the pipeline centerline positioning, displacement, and bending strain inspection. [8][9][10] The main component of pipeline centerline ILI tool is the Inertial Measurement Unit (IMU), which provides the mapping information for the pipeline. The mapping information can predict the potential deviation, and the equivalent bending strains can be determined by the data of IMU along the pipeline.…”

Section: Introductionmentioning

confidence: 99%

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A novel algorithm for pipeline displacement and bending strain of in-line inspection based on inertia measurement technology

Liu

Zheng

Wang

et al. 2018

Advances in Mechanical Engineering

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The in-line inspection tool with Inertial Measurement Unit tool is becoming a routine and important practice for many pipeline companies and is effective for whole-line bending strain measurement. However, the measurements of Inertial Measurement Unit tool are always affected by noises and errors, which are caused by inherent inaccuracies and deficiencies of the experimental techniques and measuring devices. For the calculations of the bending strain, the results are very sensitive to the noises and errors. A filtering algorithm based on cubic spline interpolation was proposed for Inertial Measurement Unit data processing to eliminate noises and errors for bending strain, and the effectiveness is validated through the pipeline field test. The results showed that the average pipeline displacement deviation declined 13.82% in the three tests, and the bending strain error reduced from 0.037% to 0.014%. The proposed method effectively improves the inspection accuracy and provides an effective method for pipeline displacement and strain inspection, which ensures the safe operation of the pipeline.

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“…The internationally recognized conventional pipeline inspection method is pipeline in-line inspection (ILI), the ILI tools can be mounted using different sensors for different parameter measurements. In order to maintain the pipeline safety and reduce accidents due to pipeline displacement and deformation [1,5], the pipeline centerline and coordinate measurement system has been playing a big role in positioning and safety [6].…”

Section: Introductionmentioning

confidence: 99%

Compensation Method for Pipeline Centerline Measurement of in-Line Inspection during Odometer Slips Based on Multi-Sensor Fusion and LSTM Network

Liu

Zheng

2019

Sensors

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The accurate measurement of pipeline centerline coordinates is of great significance to the management of oil and gas pipelines and energy transportation security. The main method for pipeline centerline measurement is in-line inspection technology based on multi-sensor data fusion, which combines the inertial measurement unit (IMU), above-ground marker, and odometer. However, the observation of velocity is not accurate because the odometer often slips in the actual inspection, which greatly affects the accuracy of centerline measurement. In this paper, we propose a new compensation method for oil and gas pipeline centerline measurement based on a long short-term memory (LSTM) network during the occurrence of odometer slip. The field test results indicated that the mean of absolute position errors reduced from 8.75 to 2.02 m. The proposed method could effectively reduce the errors and improve the accuracy of pipeline centerline measurement during odometer slips.

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Modeling and Calculation of Dent Based on Pipeline Bending Strain

Cited by 9 publications

References 15 publications

An intelligent feature recognition method of natural gas pipelines based on shapelet and blending fusion model

An intelligent feature recognition method of natural gas pipelines based on shapelet and blending fusion model

A novel algorithm for pipeline displacement and bending strain of in-line inspection based on inertia measurement technology

Compensation Method for Pipeline Centerline Measurement of in-Line Inspection during Odometer Slips Based on Multi-Sensor Fusion and LSTM Network

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