• Title/Summary/Keyword: Mechanical fault

Search Result 514, Processing Time 0.031 seconds

A Study on DC Interruption Technology using a Transformer Type Superconducting Fault Current Limiter to Improve DC Grid Stability (DC 그리드 안정성 향상을 위해 변압기형 초전도 한류기가 적용된 직류 차단 기술에 관한 연구)

  • Hwang, Seon-Ho;Choi, Hye-won;Jeong, In-Sung;Choi, Hyo-Sang
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.67 no.4
    • /
    • pp.595-599
    • /
    • 2018
  • Interruption system with the transformer type superconducting fault current limiter(TSFCL) is proposed in this paper. The interruption system with a TSFCL is a technology that it maximizes the interruption function of a mechanical DC circuit breaker using a transformer and a superconducting fault current limiter. By a TSFCL, the system limits the fault current till the breakable current range in the fault state. Therefore, the fault current could be cut off by a mechanical DC circuit breaker. The Interruption system with a TSFCL were designed using PSCAD/EMTDC. In addition, the Interruption system with a TSFCL was applied to the DC test circuit to analyze characteristics of a current-limiting and a interruption operation. The simulation results showed that the Interruption system with a TSFCL interrupted the fault current in a stable when a fault occurred. Also, The current-limiting rate of the Interruption system with a TSFCL was approximately 69.55%, and the interruption time was less than 8 ms.

Experimental and numerical studies on mechanical behavior of buried pipelines crossing faults

  • Zhang, Dan F.;Bie, Xue M.;Zeng, Xi;Lei, Zhen;Du, Guo F.
    • Structural Engineering and Mechanics
    • /
    • v.75 no.1
    • /
    • pp.71-86
    • /
    • 2020
  • This paper presents a study on the mechanical behavior of buried pipelines crossing faults using experimental and numerical methods. A self-made soil-box was used to simulate normal fault, strike-slip fault and oblique slip fault. The effects of some important parameters, including the displacement and type of fault, the buried depth and the diameter of pipe, on the deformation modes and axial strain distribution of the buried pipelines crossing faults was studied in the experiment. Furthermore, a finite element analysis (FEA) model of spring boundary was developed to investigate the performance of the buried pipelines crossing faults, and FEA results were compared with experimental results. It is found that the axial strain distribution of those buried pipelines crossing the normal fault and the oblique fault is asymmetrical along the fault plane and that of buried pipelines crossing the strike-slip fault is approximately symmetrical. Additionally, the axial peak strain appears near both sides of the fault and increases with increasing fault displacement. Moreover, the axial strain of the pipeline decreases with decreasing buried depth or increasing ratios of pipe diameter to pipe wall thickness. Compared with the normal fault and the strike-slip fault, the oblique fault is the most harmful to pipelines. Based on the accuracy of the model, the regression equations of the axial distance from the peak axial strain position of the pipeline to the fault under the effects of buried depth, pipe diameter, wall thickness and fault displacement were given.

Condition Monitoring Of Rotating Machine With Mass Unbalance Using Hidden Markov Model (은닉 마르코프 모델을 이용한 질량 편심이 있는 회전기기의 상태진단)

  • Ko, Jungmin;Choi, Chankyu;Kang, To;Han, Soonwoo;Park, Jinho;Yoo, Honghee
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
    • /
    • 2014.10a
    • /
    • pp.833-834
    • /
    • 2014
  • In recent years, a pattern recognition method has been widely used by researchers for fault diagnoses of mechanical systems. A pattern recognition method determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov model has recently been used as pattern recognition methods in various fields. In this study, a HMM method for the fault diagnosis of a mechanical system is introduced, and a rotating machine with mass unbalance is selected for fault diagnosis. Moreover, a diagnosis procedure to identity the size of a defect is proposed in this study.

  • PDF

Fault Reactivation Modeling Using Coupled TOUGH2 and FLAC3D Interface Model: DECOVALEX-2019 Task B (TOUGH2-FLAC3D Interface 모델을 통한 단층 재활성 모델링: DECOVALEX-2019 Task B)

  • Park, Jung-Wook;Park, Eui-Seob;Lee, Changsoo
    • Tunnel and Underground Space
    • /
    • v.30 no.4
    • /
    • pp.335-358
    • /
    • 2020
  • We present a numerical model to simulate coupled hydro-mechanical behavior of fault using TOUGH-FLAC simulator. This study aims to develop a numerical method to estimate fluid injection-induced fault reactivation in low permeability rock and to access the relevant hydro-mechanical stability in rock as part of DECOVALEX-2019 Task B. A coupled fluid flow and mechanical interface model to explicitly represent a fault was suggested and validated from the applications to benchmark simulations and the field experiment at Mont Terri underground laboratory in Switzerland. The pressure build-up, hydraulic aperture evolution, displacement, and stress responses matched those obtained at the site, which indicates the capability of the model to appropriately capture the hydro-mechanical processes in rock fault.

Fault Diagnosis of Roll Shape Under the Speed Variation in Hot Rolling Mill

  • Lee, Chang-Woo;Kang, Hyun-Kyoo;Shin, Kee-Hyun
    • Journal of Mechanical Science and Technology
    • /
    • v.20 no.9
    • /
    • pp.1410-1417
    • /
    • 2006
  • The metal processing system usually consists of various components such like motors, work rolls, backup rolls, idle rolls, sensors, etc. Even a simple fault in a single component in the system may cause a serious damage on the final product. It is therefore necessary to diagnose the faults of the components to detect and prevent system failure. Especially, the defects in a work roll are critical to the quality of strip. It is especially difficult to detect faults of a roll by using the existing frequency analysis method if the speed of the roll is changing. In this study, a new diagnosis method for roll eccentricity under the roll speed changes was developed. The new method was induced from analyzing the rolling mechanism by using rolling force models, radius-speed relationship, and measured rolling force, etc. Simulation results by using the field data show that the proposed method is very useful.

A Study on the Fault Diagnosis of the 3-D Roll Shape in Cold Rolling

  • Lee, Chang-Woo;Kang, Hyun-Kyoo;Shin, Kee-Hyun
    • Journal of Mechanical Science and Technology
    • /
    • v.18 no.12
    • /
    • pp.2174-2181
    • /
    • 2004
  • The metal processing system usually consists of various components such as motors, work rolls, backup rolls, idle rolls, sensors, etc. Even a simple fault in a single component in the system may cause a serious damage on the final product. It is, therefore, necessary to diagnose the faults of the components to detect and prevent a system failure. Especially, the defects in a work roll are critical to the quality of strip. In this study, a new 3-D diagnosis method was developed for roll shape defects in rolling processes. The new method was induced from analyzing the rolling mechanism by using a rolling force model, a tension model, the Hitchcock's equation, and measurement of the strip thickness, etc. Computer simulation shows that the proposed method is very useful in the diagnosis of the 3-D roll shape.

Kinematic Model based Predictive Fault Diagnosis Algorithm of Autonomous Vehicles Using Sliding Mode Observer (슬라이딩 모드 관측기를 이용한 기구학 모델 기반 자율주행 자동차의 예견 고장진단 알고리즘)

  • Oh, Kwang Seok;Yi, Kyong Su
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.41 no.10
    • /
    • pp.931-940
    • /
    • 2017
  • This paper describes a predictive fault diagnosis algorithm for autonomous vehicles based on a kinematic model that uses a sliding mode observer. To ensure the safety of autonomous vehicles, reliable information about the environment and vehicle dynamic states is required. A predictive algorithm that can interactively diagnose longitudinal environment and vehicle acceleration information is proposed in this paper to evaluate the reliability of sensors. To design the diagnosis algorithm, a longitudinal kinematic model is used based on a sliding mode observer. The reliability of the fault diagnosis algorithm can be ensured because the sliding mode observer utilized can reconstruct the relative acceleration despite faulty signals in the longitudinal environment information. Actual data based performance evaluations are conducted with various fault conditions for a reasonable performance evaluation of the predictive fault diagnosis algorithm presented in this paper. The evaluation results show that the proposed diagnosis algorithm can reasonably diagnose the faults in the longitudinal environment and acceleration information for all fault conditions.

Fault Diagnosis of Rotating System Mass Unbalance Using Hidden Markov Model (HMM을 이용한 회전체 시스템의 질량편심 결함진단)

  • Ko, Jungmin;Choi, Chankyu;Kang, To;Han, Soonwoo;Park, Jinho;Yoo, Honghee
    • Transactions of the Korean Society for Noise and Vibration Engineering
    • /
    • v.25 no.9
    • /
    • pp.637-643
    • /
    • 2015
  • In recent years, pattern recognition methods have been widely used by many researchers for fault diagnoses of mechanical systems. The soundness of a mechanical system can be checked by analyzing the variation of the system vibration characteristic along with a pattern recognition method. Recently, the hidden Markov model has been widely used as a pattern recognition method in various fields. In this paper, the hidden Markov model is employed for the fault diagnosis of the mass unbalance of a rotating system. Mass unbalance is one of the critical faults in the rotating system. A procedure to identity the location and size of the mass unbalance is proposed and the accuracy of the procedure is validated through experiment.

On-line Monitoring of Tribology Parameters and Fault Diagnosis for Disc Brake System

  • Yang Zhao-Jian;Kim Seock-Sam
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
    • /
    • 2003.11a
    • /
    • pp.224-228
    • /
    • 2003
  • The basic Principles and methods of the on-line monitoring of tribology parameters (friction coefficient and wear allowance) and fault diagnosis for the hoist disc brake system were introduced, the method were based on the spring force and oil pressure of the brake system and the hoist kinematics parameters. The experiment on the monitoring and diagnosis of hoist brake system were carried out. The research results showed: the monitoring and diagnosis methods are feasible.

  • PDF

Research of Ideal Communication Methodology among Fault Tolerance System (결함 허용 시스템 간 이상적 통신방안 연구)

  • 구철회
    • Proceedings of the IEEK Conference
    • /
    • 2003.07a
    • /
    • pp.398-401
    • /
    • 2003
  • In this paper, the basic concept and approach method of ideal communication among fault tolerance system has been studied and suggested. Fault tolerance should not be treated like Fault Avoidance and Fault Prevention. In this paper, Key specifications of mechanical and electrical characteristics of communication methods for fulfilling the requirements to meet the general purpose of fault tolerance system has been analyzed and presented.

  • PDF