Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emp...Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emphasis on structural durability and monitoring is required.This study focuses on the mechanical vibrations that occur in rotary drilling systems,which have a substantial impact on the structural integrity of drilling equipment.The study specifically investigates axial,torsional,and lateral vibrations,which might lead to negative consequences such as bit-bounce,chaotic whirling,and high-frequency stick-slip.These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time.The study investigates the dynamic interactions of these vibrations,specifically in their high-frequency modes,usingfield data obtained from measurement while drilling.Thefindings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys-tem performance.The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems.Therefore,integrating these compo-nents can increase the durability of drill bits and drill strings,as well as improve the ability to monitor and detect damage.Moreover,by exploiting thesefindings,the assessment of structural resilience in rotary drilling systems can be enhanced.Furthermore,the study demonstrates the capacity of structural health monitoring to improve the quality,dependability,and efficiency of rotary drilling systems in the petroleum industry.展开更多
A bearing fault diagnosis method based on the Markov transitionfield(MTF)and SEnet(SE)-IShufflenetV2 model is proposed in this paper due to the problems of complex working conditions,low fault diagnosis accuracy,and poo...A bearing fault diagnosis method based on the Markov transitionfield(MTF)and SEnet(SE)-IShufflenetV2 model is proposed in this paper due to the problems of complex working conditions,low fault diagnosis accuracy,and poor generalization of rolling bearing.Firstly,MTF is used to encode one-dimensional time series vibration sig-nals and convert them into time-dependent and unique two-dimensional feature images.Then,the generated two-dimensional dataset is fed into the SE-IShufflenetV2 model for training to achieve fault feature extraction and classification.This paper selects the bearing fault datasets from Case Western Reserve University and Paderborn University to experimentally verify the effectiveness and superiority of the proposed method.The generalization performance of the proposed method is tested under the variable load condition and different signal-to-noise ratios(SNRs).The experimental results show that the average accuracy of the proposed method under different working conditions is 99.2%without adding noise.The accuracy under different working conditions from 0 to 1 HP is 100%.When the SNR is 0 dB,the average accuracy of the proposed method can still reach 98.7%under varying working conditions.Therefore,the bearing fault diagnosis method proposed in this paper is characterized by high accuracy,strong anti-noise ability,and generalization.Moreover,the proposed method can also overcome the influence of variable working conditions on diagnosis accuracy,providing method support for the accurate diagnosis of bearing faults under strong noise and variable working conditions.展开更多
The Eq.(6)about the time correlation function of the chaotic field model is corrected,along with the corresponding statement.The enlargement factors of ρ_(33,B) and ρ_(ion,B) in the legends of Figs.2(b),2(c)and 2(d)...The Eq.(6)about the time correlation function of the chaotic field model is corrected,along with the corresponding statement.The enlargement factors of ρ_(33,B) and ρ_(ion,B) in the legends of Figs.2(b),2(c)and 2(d)are corrected.These corrections do not affect the conclusions of the work[Chin.Phys.B 31063203(2022)].展开更多
内源性类洋地黄物质(Endogenousdigitalis like substances,EDLS)是存在于人和哺乳动物体内的一种具有强大的强心、利尿和收缩血管作用的物质。它与外源性洋地黄一样,可以抑制Na^+—K^+—ATP酶,竞争性抑制~3H—哇巴因与受体结合,可与某...内源性类洋地黄物质(Endogenousdigitalis like substances,EDLS)是存在于人和哺乳动物体内的一种具有强大的强心、利尿和收缩血管作用的物质。它与外源性洋地黄一样,可以抑制Na^+—K^+—ATP酶,竞争性抑制~3H—哇巴因与受体结合,可与某些强心甙抗体产生交叉反应,在免疫学方面显示出类似洋地黄的抗原特性,因此可用RIA方法检测。EDLS主要存在于人和哺乳动物的下丘脑、心脏、肾上腺等组织,对机体内环境恒定的维持起重要作用。文献报告,妊娠妇女外周血EDLS浓度显著升高,脐血EDLS浓度显著高于产妇外周血,产妇外周血EDLS浓度在产后24小时迅速下降。展开更多
文摘Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emphasis on structural durability and monitoring is required.This study focuses on the mechanical vibrations that occur in rotary drilling systems,which have a substantial impact on the structural integrity of drilling equipment.The study specifically investigates axial,torsional,and lateral vibrations,which might lead to negative consequences such as bit-bounce,chaotic whirling,and high-frequency stick-slip.These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time.The study investigates the dynamic interactions of these vibrations,specifically in their high-frequency modes,usingfield data obtained from measurement while drilling.Thefindings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys-tem performance.The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems.Therefore,integrating these compo-nents can increase the durability of drill bits and drill strings,as well as improve the ability to monitor and detect damage.Moreover,by exploiting thesefindings,the assessment of structural resilience in rotary drilling systems can be enhanced.Furthermore,the study demonstrates the capacity of structural health monitoring to improve the quality,dependability,and efficiency of rotary drilling systems in the petroleum industry.
基金supported by Hebei Natural Science Foundation under Grant No.E2024402079Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province(Hebei University of Engineering)under Grant No.202206.
文摘A bearing fault diagnosis method based on the Markov transitionfield(MTF)and SEnet(SE)-IShufflenetV2 model is proposed in this paper due to the problems of complex working conditions,low fault diagnosis accuracy,and poor generalization of rolling bearing.Firstly,MTF is used to encode one-dimensional time series vibration sig-nals and convert them into time-dependent and unique two-dimensional feature images.Then,the generated two-dimensional dataset is fed into the SE-IShufflenetV2 model for training to achieve fault feature extraction and classification.This paper selects the bearing fault datasets from Case Western Reserve University and Paderborn University to experimentally verify the effectiveness and superiority of the proposed method.The generalization performance of the proposed method is tested under the variable load condition and different signal-to-noise ratios(SNRs).The experimental results show that the average accuracy of the proposed method under different working conditions is 99.2%without adding noise.The accuracy under different working conditions from 0 to 1 HP is 100%.When the SNR is 0 dB,the average accuracy of the proposed method can still reach 98.7%under varying working conditions.Therefore,the bearing fault diagnosis method proposed in this paper is characterized by high accuracy,strong anti-noise ability,and generalization.Moreover,the proposed method can also overcome the influence of variable working conditions on diagnosis accuracy,providing method support for the accurate diagnosis of bearing faults under strong noise and variable working conditions.
文摘The Eq.(6)about the time correlation function of the chaotic field model is corrected,along with the corresponding statement.The enlargement factors of ρ_(33,B) and ρ_(ion,B) in the legends of Figs.2(b),2(c)and 2(d)are corrected.These corrections do not affect the conclusions of the work[Chin.Phys.B 31063203(2022)].
文摘内源性类洋地黄物质(Endogenousdigitalis like substances,EDLS)是存在于人和哺乳动物体内的一种具有强大的强心、利尿和收缩血管作用的物质。它与外源性洋地黄一样,可以抑制Na^+—K^+—ATP酶,竞争性抑制~3H—哇巴因与受体结合,可与某些强心甙抗体产生交叉反应,在免疫学方面显示出类似洋地黄的抗原特性,因此可用RIA方法检测。EDLS主要存在于人和哺乳动物的下丘脑、心脏、肾上腺等组织,对机体内环境恒定的维持起重要作用。文献报告,妊娠妇女外周血EDLS浓度显著升高,脐血EDLS浓度显著高于产妇外周血,产妇外周血EDLS浓度在产后24小时迅速下降。
