• Title/Summary/Keyword: PHM(Prognostics and Health Management)

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A Survey on Prognostics and Comparison Study on the Model-Based Prognostics (예지기술의 연구동향 및 모델기반 예지기술 비교연구)

  • Choi, Joo-Ho;An, Da-Wn;Gang, Jin-Hyuk
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.11
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    • pp.1095-1100
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    • 2011
  • In this paper, PHM (Prognostics and Health Management) techniques are briefly outlined. Prognostics, being a central step within the PHM, is explained in more detail, stating that there are three approaches - experience based, data-driven and model based approaches. Representative articles in the field of prognostics are also given in terms of the type of faults. Model based method is illustrated by introducing a case study that was conducted to the crack growth of the gear plate in UH-60A helicopter. The paper also addresses the comparison of the OBM (Overall Bayesian Method), which was developed by the authors with the PF (Particle Filtering) method, which draws great attention recently in prognostics, through the study on a simple crack growth problem. Their performances are examined by evaluating the metrics introduced by PHM society.

A review on prognostics and health management and its applications (건전성예측 및 관리기술 연구동향 및 응용사례)

  • Choi, Joo-ho
    • Journal of Aerospace System Engineering
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    • v.8 no.4
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    • pp.7-17
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    • 2014
  • Objective of this paper is to introduce a new technology known as prognostics and health management (PHM) which enables a real-time life prediction for safety critical systems under extreme loading conditions. In the PHM, Bayesian framework is employed to account for uncertainties and probabilities arising in the overall process including condition monitoring, fault severity estimation and failure predictions. Three applications - aircraft fuselage crack, gearbox spall and battery capacity degradation are taken to illustrate the approach, in which the life is predicted and validated by end-of-life results. The PHM technology may allow new maintenance strategy that achieves higher degree of safety while reducing the cost in effective manner.

Prognostics and Health Management for Battery Remaining Useful Life Prediction Based on Electrochemistry Model: A Tutorial (배터리 잔존 유효 수명 예측을 위한 전기화학 모델 기반 고장 예지 및 건전성 관리 기술)

  • Choi, Yohwan;Kim, Hongseok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.4
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    • pp.939-949
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    • 2017
  • Prognostics and health management(PHM) is actively utilized by industry as an essential technology focusing on accurately monitoring the health state of a system and predicting the remaining useful life(RUL). An effective PHM is expected to reduce maintenance costs as well as improve safety of system by preventing failure in advance. With these advantages, PHM can be applied to the battery system which is a core element to provide electricity for devices with mobility, since battery faults could lead to operational downtime, performance degradation, and even catastrophic loss of human life by unexpected explosion due to non-linear characteristics of battery. In this paper we mainly review a recent progress on various models for predicting RUL of battery with high accuracy satisfying the given confidence interval level. Moreover, performance evaluation metrics for battery prognostics are presented in detail to show the strength of these metrics compared to the traditional ones used in the existing forecasting applications.

Resilience Allocation for Resilient Engineered System Design (복원가능 시스템 설계를 위한 복원도 할당)

  • Youn, Byeng-D.;Hu, Chao;Wang, Pingfeng;Yoon, Joung-Taek
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.11
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    • pp.1082-1089
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    • 2011
  • Most engineered systems are designed with high levels of system redundancies to satisfy required reliability requirements under adverse events, resulting in high systems' LCCs (Life-Cycle Costs). Recent years have seen a surge of interest and tremendous advance in PHM (Prognostics and Health Management) methods that detect, diagnose, and predict the effects of adverse events. The PHM methods enable proactive maintenance decisions, giving rise to adaptive reliability. In this paper, we present a RAP (Resilience Allocation Problem) whose goal is to allocate reliability and PHM efficiency to components in an engineering context. The optimally allocated reliability and PHM efficiency levels serve as the design specifications for the system RBDO (Reliability-Based Design Optimization) and the system PHM design, which can be used to derive the detailed design of components and PHM units. The RAP is demonstrated using a simplified aircraft control actuator design problem resulting in a highly resilient actuator with optimally allocated reliability, PHM efficiency and redundancy for the given parameter settings.

에너지산업 분야에의 고장진단 및 예지기술 적용 사례

  • Yun, Byeong-Dong
    • Journal of the KSME
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    • v.53 no.7
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    • pp.44-52
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    • 2013
  • 이 글에서는 고장진단 및 예지기술(PHM: Prognostics and Health Management)의 에너지산업 분야 적용 사례를 상세히 소개하고, PHM기술의 접목을 통한 에너지산업에의 기여와 예상되는 기술적 어려움, 그리고 향후 연구방향을 제시하고자 한다.

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고장예지 및 건전성관리 기술의 소개

  • Choe, Ju-Ho
    • Journal of the KSME
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    • v.53 no.7
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    • pp.26-34
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    • 2013
  • 이 글에서는 최근 관심을 모으고 있는 고장예지 및 건전성관리(PHM: Prognostics and Health Management) 기술을 소개하고, 항공우주분야의 적용사례를 중심으로 PHM 기술을 어떻게 활용하고 있는지를 설명하고자 한다.

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Analysis of Domestic Research Trends on Artificial Intelligence-Based Prognostics and Health Management (인공지능 기반 건전성 예측 및 관리에 관한 국내 연구 동향 분석)

  • Ye-Eun Jeong;Yong Soo Kim
    • Journal of Korean Society for Quality Management
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    • v.51 no.2
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    • pp.223-245
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    • 2023
  • Purpose: This study aim to identify the trends in AI-based PHM technology that can enhance reliability and minimize costs. Furthermore, this research provides valuable guidelines for future studies in various industries Methods: In this study, I collected and selected AI-based PHM studies, established classification criteria, and analyzed research trends based on classified fields and techniques. Results: Analysis of 125 domestic studies revealed a greater emphasis on machinery in both diagnosis and prognosis, with more papers dedicated to diagnosis. various algorithms were employed, including CNN for image diagnosis and frequency analysis for signal data. LSTM was commonly used in prognosis for predicting failures and remaining life. Different industries, data types, and objectives required diverse AI techniques, with GAN used for data augmentation and GA for feature extraction. Conclusion: As studies on AI-based PHM continue to grow, selecting appropriate algorithms for data types and analysis purposes is essential. Thus, analyzing research trends in AI-based PHM is crucial for its rapid development.

자동차의 진화와 전장부품 진단기술의 진화 필요성

  • Han, Chang-Un
    • Journal of the KSME
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    • v.53 no.7
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    • pp.40-43
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    • 2013
  • 이 글에서는 최근 관심을 모으고 있는 고장예지 및 건전성관리(PHM: Prognostics and Health Management) 기술이 자동차 전장부품에 어떻게 적용돼야 하는지에 대한 설명을 하고자 한다.

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Roadmap Configuration for Technical Elements Acquisition of Military Fixed Wing Aircraft Parts PHM and Verification of Parts Selection Phase (군수용 고정익 항공기 구성품 PHM 적용을 위한 기술 요소 획득 로드맵 구성 및 구성품 선정단계 검증)

  • Kim, Geun-Yeong;Hwang, Jae-Ki;Im, Yeong-Ki;Ha, Seok-Wun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.9
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    • pp.665-677
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    • 2019
  • The United States has implemented the TLCSM (Total Life Cycle System Management) to minimize the total lifecycle cost of aircraft and to improve operating availability. As a practical strategy, CBM + is required to be applied to new weapons systems. The F-35 aircraft applied PHM under CBM + concept from the development stage. In this study, we analyzed the technology trends, the level of PHM technology in Korea, and the development trends of foreign technology. Then, we analyzed the PHM technical elements and constructed the 5 phases of technical elements acquisition roadmap for military fixed wing aircraft parts PHM.

The defect detection circuit of an electronic circuit through impedance change detection that induces a change in S-parameter (S-parameter의 변화를 유도하는 임피던스 변화 감지를 통한 전자회로의 결함검출회로)

  • Seo, Donghwan;Kang, Tae-yeob;Yoo, Jinho;Min, Joonki;Park, Changkun
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.689-696
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    • 2021
  • In this paper, in order to apply Prognostics and Health Management(PHM) to an electronic system or circuit, a circuit capable of detecting and predicting defect characteristics inside the system or circuit is implemented, and the results are described. In the previous study, we demonstrated that the frequency of the amplitude of S-parameter changed as the circuit defect progressed. These characteristics were measured by network analyser. but in this study, even if the same defect detection method is used, a circuit is proposed to check the progress of the defect, the remaining time, and the occurrence of the defect without large measurement devices. The circuit is designed to detect the change in impedance that generates changes of S-parameter, and it is verified through simulation using the measurement results of Bond-wires.