• Title/Summary/Keyword: Deterioration diagnostic

Search Result 142, Processing Time 0.035 seconds

The Maintenance Methods of Concrete Deterioration caused by Fire Attack (화재피해를 입은 콘크리트 구조물의 유지관리방안)

  • Kwon, Young-Jin;Yoon, Ung-Gi;Koo, In-Hyeok
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2015.05a
    • /
    • pp.236-237
    • /
    • 2015
  • Concrete is the one of the most widely used in every country as a structural materials. On the other hand, a lot of fire incident has been occurred all over the world. But maintenance methods such as inspection and diagnostic methods, design methods, quality control methods for the purpose of improving the performance of concrete structures damaged by fire has made in its own way. Therefore, the purpose of this proposal of new working item is is to ensure the safety of the concrete structures damaged by fire in the field of assessment of damage, design, repair methods and so on through the International Organization for Standardization.

  • PDF

Fault diagnosis of induction motor using principal component analysis (주성분 분석기법을 통한 유도전동기 고장진단)

  • Byun Yeun-Sub;Lee Byung-Song;Bae Chang-Han;Wang Jong-Bae
    • Proceedings of the KSR Conference
    • /
    • 2003.10c
    • /
    • pp.529-534
    • /
    • 2003
  • Within industry induction motors have a broad application area to drive pumps, fans, elevators and electric trains. Sudden failures of such machines can cause the heavy economical losses and the deterioration of system reliability. Based on the reliability and cost competitiveness of driving system (motors), the faults detection and the diagnosis of system are considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method are used for induction motor fault diagnosis. This method analyzes the motor's supply current, since this diagnoses faults of the motor. The diagnostic algorithm is based on the principal component analysis(PCA), and the diagnosis system is programmed by using LabVIEW and MATLAB.

  • PDF

Development of A/T Oil Temperature Sensor Plausibility Diagnostic Logic (자동변속기 오일 온도센서 출력 이상 진단 로직 개발)

  • Kwon, Jun-Eui;Choi, Young-Sun;Sim, Jang-Sun
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.13 no.6
    • /
    • pp.99-104
    • /
    • 2005
  • The CARB in USA has demanded OBD functions that detect any deterioration of performance of OTS as well as a simple defect of OTS which can affect emission to meet the reinforced emission regulation. In this paper, OTS plausibility monitoring functions to meet the demand from CARB are discussed. The output from OTS is used for the diagnostics of the torque converter clutch stuck and the gear ratio synchronous error. It is possible to diagnose the abnormality of OTS function by considering the oil temperature characteristics which changes according to the driving status of vehicles. In result, the OBD regulations of the CARB can be satisfied obligating car manufacturer to detect any problems in OTS functions which can affect emissions.

A study on the fault diagnosis system for Induction motor (유도전동기 고장진단시스템 연구)

  • Byun, Yeun-Sub;Park, Hyun-June;Kim, Gil-Dong;Han, Young-Jae
    • Proceedings of the KIEE Conference
    • /
    • 2001.07d
    • /
    • pp.2172-2174
    • /
    • 2001
  • Induction motors are a critical component of many industrial machines and are frequently integrated in commercial equipment. The many economical losses and the deterioration of system reliability might be caused by the failure of induction motors in industrial field. Based on the reliability and cost competitiveness of driving system (motors), the faults detection and diagnosis of system is considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method is used for induction motor fault diagnosis. This method analyzes the motor's supply current, since this diagnoses the motor's condition. The diagnostic system is constructed by using LabVIEW of National Instruments.

  • PDF

Development of Diagnostic Algorithm Using Location of PD at Transformer (변압기 부분방전 위치검출을 통한 진단알고리즘 개발)

  • Lee, Seung-Whan;Oh, Hak-Joon;Shin, Seung-Shik;Yun, Man-Soo;Jung, Chan-Soo
    • Proceedings of the KIEE Conference
    • /
    • 2001.07d
    • /
    • pp.2178-2180
    • /
    • 2001
  • This paper is the study for the separating noise signal that is the greatest problem in ultrasonic signal measurement which is one of the method of estimation of partial discharge signals location. Because we can measure the number and location of signal, it is possible to distinguish between the signal of partial discharge and the external noise. Therefore, we can develop the credibility of detecting of insulating deterioration in transformer.

  • PDF

The Diagnosis cast-resin Transformer using Infrared Thermography system (열화상을 이용한 몰드변압기의 진단)

  • Jeong, Sung-Cheon;Chun, Jong-Chul;Lim, Yong-Bae
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 2003.11a
    • /
    • pp.216-219
    • /
    • 2003
  • This paper presents the analyzing method for surface temperature distribution of a cast-resin transformer. For the study, the surface temperature of the transformer winding was measured and analyzed by a infrared thermography system. Alternating voltages were applied to simulate deterioration of the specimen transformer, and the hot-spot on the transformer surface was measured to analyze the condition for the winding. The hot line condition measured to the changes in surface temperature using infrared thermography camera and was set up the based of diagnostic method of the electric power apparatus. The results ould show the possibility of remote diagnosis using internet.

  • PDF

Fault diagnosis of induction motor using principal component analysis (주성분 분석기법을 이용한 유도전동기 고장진단)

  • Byun, Yeun-Sub;Lee, Byung-Song;Baek, Jong-Hyen;Wang, Jong-Bae
    • Proceedings of the KIEE Conference
    • /
    • 2003.11c
    • /
    • pp.645-648
    • /
    • 2003
  • Induction motors are a critical component of industrial processes. Sudden failures of such machines can cause the heavy economical losses and the deterioration of system reliability. Based on the reliability and cost competitiveness of driving system (motors), the faults detection and the diagnosis of system are considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method is used for induction motor fault diagnosis. This method analyses the motor's supply current. since this diagnoses faults of the motor. The diagnostic algorithm is based on the principal component analysis(PCA), and the diagnosis system is programmed by using LabVIEW and MATLAB.

  • PDF

The Fuzzy Fault Diagnosis System for Induction Motor

  • Sub, Byung-Yeun;Uk, Jang-Dong;Hyundai-Jun
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2001.10a
    • /
    • pp.65.1-65
    • /
    • 2001
  • Induction motors are a critical component of many industrial machines and are frequently integrated in commercial equipment. The many economical losses and the deterioration of system reliability might be caused by the failure of induction motors in industrial field. Based on the reliability and cost competitiveness of driving system motors, the faults detection and diagnosis of system is considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis MCSA method are emphasized. In this paper, MCSA method is used for induction motor fault diagnosis. This method analyzes the motor´s supply current, since this diagnoses the motor´s condition. The diagnostic system is constructed by using LabVIEW of National Instruments.

  • PDF

Innovative Therapeutic Approaches for Mucopolysaccharidosis III

  • Sohn, Young Bae
    • Journal of mucopolysaccharidosis and rare diseases
    • /
    • v.4 no.2
    • /
    • pp.37-41
    • /
    • 2018
  • Mucopolysaccharidosis III (MPS III, Sanfilippo syndrome) is a rare autosomal recessive disease caused by a deficiency of one of four enzymes involved in the degradation of glycosaminoglycan (GAG). The resultant cellular accumulation of GAG causes various clinical manifestations. MPS III is divided into four subtypes depending on the deficient enzyme. All the subtypes show similar clinical features and are characterized by progressive degeneration of the central nervous system. A number of genetic and biochemical diagnostic methods have been developed. However, there is no effective therapy available for any form of MPS III, with treatment currently limited to clinical management of neurological symptoms. Main purpose of the treatment for MPS III is to prevent neurologic deterioration. Because conventional intravenous enzyme replacement therapy (ERT) has a limitation due to inability to cross the blood-brain barrier, several innovative therapeutic approaches for MPS III are being developed. This review covers the currently developing new therapeutic options for MPS III including high dose ERT, substrate reduction therapy, intrathecal or intraventricular ERT, fusion protein delivery using bioengineering technology, and gene therapy.

MV Cable Failure Statistics Analysis and Failure Rate Utilization Method of Prioritization of Diagnosis Targets (지중 배전용케이블 고장통계 분석 및 고장률 활용 진단대상 우선순위 선정방법)

  • Cho, Chong-Eun;Lee, On-You;Kim, Sang-Bong;Kim, Kang-Sik
    • KEPCO Journal on Electric Power and Energy
    • /
    • v.7 no.2
    • /
    • pp.263-268
    • /
    • 2021
  • This paper statistically analyzes the time required for each failure cause and describes a diagnostic method for 159 reports of failure analysis of MV cables that occurred in the distribution system of KEPCO over the past 18 years. In addition, the manufacturer's failure rate compared to 100C-km was calculated using 381 cases of MV cable deterioration failure between 2008 and 2020. It is hoped that this paper will help those in charge of maintaining underground facilities at the business office to use the failure rate to prioritize facility diagnosis.