• Title/Summary/Keyword: Predictive Maintenance

Search Result 92, Processing Time 0.591 seconds

Transmission Characteristics LonWorks/IP-based Virtual Device Network for Predictive Maintenance (예지보전을 위한 LonWorks/IP 가상 디바이스 네트워크의 통신특성에 관한 연구)

  • Choi, Gi-Heung
    • Journal of the Korean Society of Safety
    • /
    • v.17 no.4
    • /
    • pp.196-201
    • /
    • 2002
  • Web-based predictive maintenance (PM) utilizes Virtual Device Network (VDN). VDN inevitably the implementation of Distributed Monitoring and Control Networks (DMCN). In general, one needs to integrate fieldbus protocol and TCP/IP to realize DMCN over IP network or internet, which can be viewed as Virtual Device Network (VDN). Interoperability between devices and equipments is essential to enhance the quality and the performance of predictive maintenance (PM). This paper investigates the transmission characteristics of VDN and suggests a basic framework for web-based PM using DMCN over IP network.

Adaptation and Implementation of Predictive Maintenance Technique with Nondestructive Testing for Power Plants (비파괴기술을 이용한 발전설비 예측정비 기법 도입과 적용)

  • Jung, Gye-Jo;Jung, Nam-Gun
    • Journal of the Korean Society for Nondestructive Testing
    • /
    • v.30 no.5
    • /
    • pp.497-502
    • /
    • 2010
  • Many forces are pressuring utilities to reduce operating and maintenance costs without cutting back on reliability or availability. Many utility managers are re-evaluating maintenance strategies to meet these demands. To utilities how to reduce maintenance costs and extent the effective operating life of equipment, predictive maintenance technique can be adapted. Predictive maintenance has three types program which arc in-house program, engineering company program and mixed program. We can approach successful predictive maintenance program with "smart trust" concept.

A Study on the Concept of a Ship Predictive Maintenance Model Reflection Ship Operation Characteristics (선박 운항 특성을 반영한 선박 예지 정비 모델 개념 제안)

  • Youn, Ik-Hyun;Park, Jinkyu;Oh, Jungmo
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.27 no.1
    • /
    • pp.53-59
    • /
    • 2021
  • The marine transport industry generally applies new technologies later than other transport industries, such as airways and railways. Vessels require efficient operation, and their performance and lifespan depend on the level of maintenance and management. Many studies have shown that corrective maintenance (CM) and time-based maintenance (TBM) have restrictions with respect to enabling efficient maintenance of workload and cost to improve operational efficiency. Predictive maintenance (PdM) is an advanced technology that allows monitoring the condition and performance of a target machine to predict its time of failure and helps maintain the key machinery in optimal working conditions at all times. This study presents the development of a marine predictive maintenance (MPdM; maritime predictive maintenance) method based on applying PdM to the marine environment. The MPdM scheme is designed by considering the special environment of the marine transport industry and the extreme marine conditions. Further, results of the study elaborates upon the concept of MPdM and its necessity to advancing marine transportation in the future.

Degradation-Based Remaining Useful Life Analysis for Predictive Maintenance in a Steel Galvanizing Kettle (철강 도금로의 예지보전을 위한 열화 기반 잔존수명 분석)

  • Shin, Joon Ho;Kim, Chang Ouk
    • Journal of the Korea Convergence Society
    • /
    • v.10 no.12
    • /
    • pp.271-280
    • /
    • 2019
  • Smart factory, a critical part of digital transformation, enables data-driven decision making using monitoring, analysis and prediction. Predictive maintenance is a key element of smart factory and the need is increasing. The purpose of this study is to analyze the degradation characteristics of a galvanizing kettle for the steel plating process and to predict the remaining useful life(RUL) for predictive maintenance. Correlation analysis, multiple regression, principal component regression were used for analyzing factors of the process. To identify the trend of degradation, a proposed rolling window was used. It was observed the degradation trend was dependent on environmental temperature as well as production factors. It is expected that the proposed method in this study will be an example to identify the trend of degradation of the facility and enable more consistent predictive maintenance.

Development of the Predictive Maintenance Methodology for Rod Control System in Nuclear Power Plant (원전 제어봉제어시스템 예방정비 방법론 개발)

  • Yim, Hyeong-Soon;Hong, Hyeong-Pyo;Han, Hee-Hwan;Koo, Jun-Mo;Kim, Hang-Bae
    • Proceedings of the KIEE Conference
    • /
    • /
    • pp.2058-2060
    • /
    • 2002
  • The demand for safety and reliability of Nuclear Power Plants (NPPs) has been constantly increasing and economical operation is also an important issue. Developing and adopting predictive maintenance technology for the major systems or equipment is considered as one way to achieve these goals. This paper suggests the predictive maintenance methodology that can be applied to NPPs and describes a sample application of the Rod Control System (RCS) to verify the effectiveness of the methodology. It is expected that the same methodology can be adopted for other systems of NPPs and general industry fields when its effectiveness is verified.

  • PDF

Predictive Maintenance of the Robot Trouble Using the Machine Learning Method (Machine Learning기법을 이용한 Robot 이상 예지 보전)

  • Choi, Jae Sung
    • Journal of the Semiconductor & Display Technology
    • /
    • v.19 no.1
    • /
    • pp.1-5
    • /
    • 2020
  • In this paper, a predictive maintenance of the robot trouble using the machine learning method, so called MT(Mahalanobis Taguchi), was studied. Especially, 'MD(Mahalanobis Distance)' was used to compare the robot arm motion difference between before the maintenance(bearing change) and after the maintenance. 6-axies vibration sensor was used to detect the vibration sensing during the motion of the robot arm. The results of the comparison, MD value of the arm motions of the after the maintenance(bearing change) was much lower and stable compared to MD value of the arm motions of the before the maintenance. MD value well distinguished the fine difference of the arm vibration of the robot. The superior performance of the MT method applied to the prediction of the robot trouble was verified by this experiments.

Web-based Predictive Maintenance(PM) (웹 기반 예방 보전에 관한 연구)

  • Gi-Heung Choi
    • Journal of the Korean Society of Safety
    • /
    • v.16 no.4
    • /
    • pp.213-217
    • /
    • 2001
  • Requirements for Device Networks differ greatly from those of typical data networks. Specifically, any device network technology which employs a fieldbus protocol is different from IP network protocol TCP/IP. In general, one needs to integrate fieldbus protocol and TCP/IP to realize device network over IP network or internet. Interoperability between devices and equipments is essential to enhance the quality and the performance of predictive maintenance(PM). This paper suggests a basic framework for web-based predicted maintenance and a method to guarantee interoperability between devices and equipments.

  • PDF

Concept of the Advanced Predictive Maintenance Using PQ Data (PQ데이터를 이용한 예상 유지보수방안의 소개)

  • Cho, Soo-Hwan;Jang, Gil-Soo;Kwon, Sae-Hyuk;Jeon, Young-Soo
    • Proceedings of the KIEE Conference
    • /
    • /
    • pp.396-398
    • /
    • 2006
  • Predictive maintenance is not an unfamiliar concept because it has been used to predict the failures of electrical equipment such as transformers, motors and so on. By thoroughly monitoring the status of individual equipment and tracing how the various characteristics change over time, we can be aware of its exact condition and prevent the impending failure by taking appropriate actions. In this paper, I will extend the concept of predictive maintenance for individual electrical equipment to the power distribution system and show how to use the data obtained from power quality monitors to improve the power system.

  • PDF

A Design of Condition Monitoring System for Predictive Maintenance

  • Jeong, Hai-Sung;Kim, Heung H.;Sang K. Yun;Elsayed A. Elsayed
    • International Journal of Reliability and Applications
    • /
    • v.2 no.1
    • /
    • pp.57-71
    • /
    • 2001
  • Global competition to increase production output and to improve quality is spurring manufacturing companies to use condition monitoring and fault diagnostic systems for predictive maintenance. As monitoring, testing, and measuring techniques develop, predictive control of components and complete systems have become more practical and affordable. In this article, we will consider the computer based data acquisition system for condition monitoring and the condition parameter analysis techniques for fault detection and diagnostics in the machinery and briefly discuss reliability prediction and the limit value determination in condition monitoring.

  • PDF