Pattern recognition of stick-slip vibration in combined signals of DrillString vibration

Li, Yafeng; Xue, Qilong; Wang, Jin; Wang, Chong; Shan, Yue Jin

doi:10.1016/j.measurement.2022.112034

Cited by 7 publications

(3 citation statements)

References 52 publications

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“…By analyzing the waveform and amplitude of the time-domain signal, the motion state of the cleaning sieve can be preliminarily judged. Ten commonly used time-domain characteristic indexes, such as the mean value, peak value, and root amplitude, were selected for analysis [29,30], and their specific calculation formulas are listed in Table 3.…”

Section: Time-domain Analysis Of the Vibration Signalmentioning

confidence: 99%

Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals

Ma,

Zhang,

Zhang

et al. 2023

Agriculture

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Cleaning is one of the most important steps in the harvesting process, and the prolonged and high-load operation of the vibrating sieve can decrease its reliability. To uncover the structural flaws of the cleaning sieve in the crawler combine harvester and establish a foundation for quality inspection, this paper proposes a method for durability testing and analysis using vibration and strain signals. Via the modal analysis of the cleaning sieve, the most susceptible areas for fault signals are identified. Subsequently, a specialized test rig exclusively designed for the examination of the durability of the cleaning sieve is constructed. After following 96 h of uninterrupted operation, the vibration plate of the cleaning sieve sustains damage, resulting in atypical noise. A signal analysis reveals that the primary vibration signal of the cleaning sieve primarily consists of a fundamental frequency of 5 Hz, corresponding to the driving speed, as well as a frequency doubling signal of 50 Hz. After the occurrence of damage, the peak amplitude of the received vibration signal increases by over 86.3%. Furthermore, the strain gauge sensor situated on the support plate of the rear sieve detects anomalous signals with frequencies exceeding 300 Hz, which are accompanied by a considerable rise in the power spectral density. This research has significant importance for enhancing the service life of the cleaning sieve and optimizing the overall machine efficiency.

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Section: Time-domain Analysis Of the Vibration Signalmentioning

confidence: 99%

Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals

Ma,

Zhang,

Zhang

et al. 2023

Agriculture

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“…In order to validate the generalizability of the method proposed in this paper [29], motor-vibration data publicly available under the CHIST-ERA SOON project in CHIST-ERA III-European Coordinated Study on Long-Term ICT and ICT-Based Scientific Challenges (768977) are used. Three types of motor-state data are measured via the Y-direction sensor and X-direction sensor of the extracted dataset, 100 sets of samples are set for each state, and each sample contains 2048 data points [30]; the ratio of the test set to the training set is 3:7. The first motor state is normal operation, no load, and a motor rotational speed half of the maximal rotational speed; the second state is the motor with mechanical failure of the rotational shaft imbalance, no load, and a motor rotational speed half of the maximal speed; the third state is the motor with an electrical fault, the fault resistance is 50 Ω, no load, and the motor speed is half of the maximum speed [31].…”

Section: Generalizability Testmentioning

confidence: 99%

Research on Three-Phase Asynchronous Motor Fault Diagnosis Based on Multiscale Weibull Dispersion Entropy

Xie,

Sun,

Zhou

et al. 2023

Entropy

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Three-phase asynchronous motors have a wide range of applications in the machinery industry and fault diagnosis aids in the healthy operation of a motor. In order to improve the accuracy and generalization of fault diagnosis in three-phase asynchronous motors, this paper proposes a three-phase asynchronous motor fault diagnosis method based on the combination of multiscale Weibull dispersive entropy (WB-MDE) and particle swarm optimization–support vector machine (PSO-SVM). Firstly, the Weibull distribution (WB) is used to linearize and smooth the vibration signals to obtain sharper information about the motor state. Secondly, the quantitative features of the regularity and orderliness of a given sequence are extracted using multiscale dispersion entropy (MDE). Then, a support vector machine (SVM) is used to construct a classifier, the parameters are optimized via the particle swarm optimization (PSO) algorithm, and the extracted feature vectors are fed into the optimized SVM model for classification and recognition. Finally, the accuracy and generalization of the model proposed in this paper are tested by adding raw data with Gaussian white noise with different signal-to-noise ratios and the CHIST-ERA SOON public dataset. This paper builds a three-phase asynchronous motor vibration signal experimental platform, through a piezoelectric acceleration sensor to discern the four states of the motor data, to verify the effectiveness of the proposed method. The accuracy of the collected data using the WB-MDE method proposed in this paper for feature extraction and the extracted features using the optimization of the PSO-SVM method for fault classification and identification is 100%. Additionally, the proposed model is tested for noise resistance and generalization. Finally, the superiority of the present method is verified through experiments as well as noise immunity and generalization tests.

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“…Li et al established a classification model for vibration patterns using supervised machine learning methods. By applying the classification model to actual drilling data, the specific vibration types of each vibration mode were identified 23 . Khulef et al established a finite element dynamic system considering gyroscope torque, solved the modal characteristics of the drill string, and solved the time response of the drill string system using Lagrangian and finite element methods 24 .…”

mentioning

confidence: 99%

Analysis of drilling vibration characteristics of anchoring system in coal mine

Xie,

Li,

Zhang

et al. 2023

Sci Rep

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A new type of parallel operation unit for excavating and supporting anchors is proposed to address the issue of imbalanced excavation anchor ratio in coal mines. By equipping a straddle type anchoring drilling rig group, the synchronous parallel and fast operation mode for excavating and supporting anchors is achieved; Consider the problem of poor drilling stability of drill pipes in coal mines due to the coupling vibration between surrounding rock and anchoring equipment. Firstly, taking the multi drilling rig anchoring system as the research object, considering the influence of the equipment itself as an influencing factor on the vibration of the drill pipe, a dynamic model of the system is constructed using Lagrangian equations, and analytical solutions for the vibration displacement of each mass block are obtained; In order to more intuitively represent the vibration process of the drill pipe, Ansys is used to conduct modal analysis on the key components of the anchoring drilling rig system, and obtain the natural frequencies and vibration modes of each order of the key components; Using Adams to solve the rigid flexible coupling dynamic model of the anchoring drilling rig system, the vibration response laws of the drill pipe under different operating states were obtained. Secondly, Abaqus was used to simulate the drilling process of the drill pipe and obtain the vibration response law generated by the interaction between the drill pipe and the surrounding rock; The results indicate that the anchoring equipment has a greater impact on the vibration of the drill pipe, and the surrounding rock has a more stable impact on the vibration of the drill pipe. Due to the short body and large span structure of the anchoring system crossbeam expansion frame, the vibration response of the drill pipe is significantly greater than that of the retracted state of the drilling rig due to being in an unstable cantilever state when the drilling rig is extended. The theoretical reliability of the vibration response law of the drill pipe under different states has been further verified through drilling experiments of the anchoring system prototype. The relevant theories can provide a theoretical basis for the implementation of automatic anchoring technology in the anchoring system.

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Pattern recognition of stick-slip vibration in combined signals of DrillString vibration

Cited by 7 publications

References 52 publications

Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals

Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals

Research on Three-Phase Asynchronous Motor Fault Diagnosis Based on Multiscale Weibull Dispersion Entropy

Analysis of drilling vibration characteristics of anchoring system in coal mine

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