• Title/Summary/Keyword: Failure Effect

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A Case Report of Climacteric Symptoms in Premature Ovarian Failure Patient Who Has One Side Ovariectomy and Pelvic Tuberculosis (골반결핵과 단측 난소절제의 병력이 있는 환자의 조기 폐경 후 갱년기 증상 치험 1례)

  • Lee, Yeon-Kyeong;Yoo, Yung-Ki;Lee, Dong-Nyung;Kim, Hyung-Jun
    • The Journal of Korean Obstetrics and Gynecology
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    • v.21 no.3
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    • pp.269-278
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    • 2008
  • Purpose: The purpose of this study is to report the effect of Traditional Korean Medicine therapy on climacteric symptoms in premature ovarian failure patient. Methods: The patient in this case was 32 years old female. She had a history of the right side ovariectomy and antituberculous chemoteraphy caused by pelvic tuberculosis. And she was diagnosed with premature ovarian failure in October, 2007. She had a climacteric symptoms when she admitted to the OBGY department of Se-Myung University in Je-Cheon. She received Korean Medicine therapies such as herbal medicine, moxibustion, acupuncture. We evaluated patient's health status by Kupperman's index and VAS. Results: After the treatment, the climacteric symptoms in premature ovarian failure patient was improved. Conclusion: This case study shows that Korean Medicine therapies have significant effect on climacteric symptoms in premature ovarian failure.

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Machine Learning Based Failure Prognostics of Aluminum Electrolytic Capacitors (머신러닝을 이용한 알루미늄 전해 커패시터 고장예지)

  • Park, Jeong-Hyun;Seok, Jong-Hoon;Cheon, Kang-Min;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.11
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    • pp.94-101
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    • 2020
  • In the age of industry 4.0, artificial intelligence is being widely used to realize machinery condition monitoring. Due to their excellent performance and the ability to handle large volumes of data, machine learning techniques have been applied to realize the fault diagnosis of different equipment. In this study, we performed the failure mode effect analysis (FMEA) of an aluminum electrolytic capacitor by using deep learning and big data. Several tests were performed to identify the main failure mode of the aluminum electrolytic capacitor, and it was noted that the capacitance reduced significantly over time due to overheating. To reflect the capacitance degradation behavior over time, we employed the Vanilla long short-term memory (LSTM) neural network architecture. The LSTM neural network has been demonstrated to achieve excellent long-term predictions. The prediction results and metrics of the LSTM and Vanilla LSTM models were examined and compared. The Vanilla LSTM outperformed the conventional LSTM in terms of the computational resources and time required to predict the capacitance degradation.

Crack pattern and failure mode prediction of SFRC corbels: Experimental and numerical study

  • Gulsan, Mehmet Eren;Cevik, Abdulkadir;Mohmmad, Sarwar Hasan
    • Computers and Concrete
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    • v.28 no.5
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    • pp.507-519
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    • 2021
  • In this study, a new procedure was proposed in order to predict the crack pattern and failure mode of steel fiber reinforced concrete (SFRC) corbels. Moreover, an experimental study was carried out in order to investigate the effect of several parameters, such as compressive strength, tensile strength, steel fiber ratio, shear span on the mechanical behavior of SFRC corbels in detail. Totally, 24 RC and SFRC corbels were prepared for the experimental study. Experimental results indicate that each investigated parameter has noticeable effect on the load capacity and failure mode of SFRC corbels. Moreover, finite element (FE) model of the tested corbels were prepared and efficiency of FE model was investigated for further studies. Comparison of FE and experimental results show that there is an acceptable fit between them regarding load capacity and crack patterns. Thereafter, parametric study was carried out via FE analyses in order to obtain a methodology for crack pattern and failure mode prediction of SFRC corbels. As a result of parametric studies, a new procedure was proposed as flowcharts in order to predict the failure mode of SFRC corbels for normal and high strength concrete class separately.

Interaction Effects of Lay Theories and Failure Type on Adaptive versus Compensatory Consumption Behavior

  • Choi, Nak-Hwan;Wang, Li;Chen, Chang
    • The Journal of Industrial Distribution & Business
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    • v.9 no.7
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    • pp.19-32
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    • 2018
  • Purpose - This paper aims at exploring the effects of failure types such as failure in promotion orientation and failure in prevention orientation on consumers' consumption behavior, and the moderation role of lay theories in the effects. Research design, data, and methodology - This study employed 2 between-subject designs(failure in promotion orientation vs. failure in prevention orientation) and also 2 (failure in promotion orientation vs. failure in prevention orientation) with implicit self as the within-subject. Chinese consumers participated in the empirical study, and to verify the hypotheses ANOVA, T-test and regression analysis were used. Results - Consumers were more likely to choose adaptive consumption behavior rather than compensatory consumption behavior when they were encountered with failure in promotion orientation versus failure in prevention orientation. Lay theories did play the moderation role in the effect of failure types on consumption behavior. The incremental theorists who think that effort is an important way to accomplish their learning goals showed more willingness to conduct compensatory consumption behavior rather than adaptive consumption behavior. Conclusions - Marketers should put more attention on the ways by which their products can help consumers self-improve when consumers encounter with failure. They should also be aware of the importance of consumers' mindsets when designing and developing advertising messages.

The Verification of Causality among Accident, Depression, and Cognitive Failure of the Train Drivers (철도기관사의 사고, 우울감, 인지실패 간의 인과관계 검증)

  • Ro, Choon-Ho;Shin, Tack-Hyun
    • Journal of the Korea Society for Simulation
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    • v.25 no.4
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    • pp.109-115
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    • 2016
  • This study intended to testify the causality among three variables such as accident, depression and cognitive failure of the train drivers. For this purpose, two research models were suggested. Model 1 hypothesized the causality among three variables as 'depression ${\rightarrow}$ cognitive failure ${\rightarrow}$ accident'. On the other hand, model 2 hypothesized the causality among three variables as 'accident ${\rightarrow}$ depression ${\rightarrow}$ cognitive failure'. Results based on AMOS using 416 train drivers' questionnaire showed that model 2 is more valid than model 1. The statistical result of model 1 showed that depression has a positive effect on cognitive failure, however no significant relationship between depression and accident as well as between cognitive failure and accident. In model 2, the result showed that the accident has a positive effect on cognitive failure mediated by depression. This result suggests the necessity for establishment of countermeasures to mitigate mistake and cognitive failure caused by train drivers in a wider context, considering the causality between accident and depression.

The Effects of Failed Airline Services on the Complaint and Switching Behavior (항공서비스 실패가 불평행동과 전환행동에 미치는 영향)

  • Tran, Quang Thai;Kang, Hyunmo;Jeong, Eui Hyeon
    • Knowledge Management Research
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    • v.18 no.2
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    • pp.103-127
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    • 2017
  • This study examines the effects of failed airline services on the consumers' psychological process and their behavioral responses. Having different classifications from the previous studies, this study focuses on dividing important factors of airline services into search attributes(e.g. sale and procedure services, services concerning flight attendant, in-flight services) and experience attributes(e.g. flight services, collateral services). Using structural equation modeling, this study shows that the failure of service factors of the experience attributes provokes the feeling of disappointment with mediation effect of external attribution while the failure of service factors of search attributes provokes the feeling of regret with mediation effect of internal attribution. Finally, disappointment leads to consumers' complaint behavior while regret leads to consumers' switching behavior. Unlike previous studies, we show that when a service failure occurs, depending on each attribute, consumers feel negative emotions of disappointment or regret through different attribution processes and finally show different behavioral responses with an empirical analysis.

A Study on the Failure Effect Analysis of Overhead Transformer Considering Weather (기상요인에 따른 가공변압기의 고장영향 분석에 관한 연구)

  • Oh, Do-Eun;Jang, Seung-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.5
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    • pp.857-862
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    • 2017
  • The management of the electric power facilities became important in accordance with the industrial development and electric power facilities were influenced by weather. Even if the same kind of electric power facilities is estimated for extracting the time-varying failure rate, the failure rate could be different depending on external effect such as climate. This research will show the data mining modeling of the weather-related outage and influence of weather on the electric power facility with recent data.

Reliability Analysis of Repairable Systems Considering Failure Detection Equipments (고장감지장치를 고려한 수리가능 시스템의 신뢰도 분석)

  • Na, Seong-Ryong
    • The Korean Journal of Applied Statistics
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    • v.24 no.3
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    • pp.515-521
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    • 2011
  • In this paper we consider failure detection equipment that which find failures in repairable systems and enable repair operations. In practical situations, failure detection equipment may come across troubles that can cause the omissions in detecting system failures and have a serious effect on system reliability. We analyze this effect through the appropriate modeling of Markov processes.

A Study on Design and Reliability Assessment for Embedded Hot-Standby Sparing FT System Using Self-Checking Logic (자기검사회로를 이용한 대기이중계구조 결함허용제어기의 설계 및 신뢰도평가에 관한 연구)

  • Lee, Jae-Ho;Lee, Kang-Mi;Kim, Young-Kyu;Shin, Duc-Ko
    • Journal of the Korean Society for Railway
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    • v.9 no.6 s.37
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    • pp.725-731
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    • 2006
  • Hot Standby sparing system detecting faults by using software, and being tolerant any faults by using Hardware Redundancy is difficult to perform quantitative reliability prediction and to detect real time faults. Therefore, this paper designs Hot Standby sparing system using hardware basis self checking logic in order to overcome this problem. It also performs failure mode analysis of Hot Standby sparing system with designed self checking logic by using FMEA (Failure Mode Effect Analysis), and identifies reliability assessment of the controller designed by quantifying the numbers of failure development by using FTA (Fault Tree Analysis)

Failure Zone Estimation from the correlation between the Temperature in Slope and the Soil Nail Strain (지중온도와 변형율과의 상관관계를 통한 활동영역의 추정)

  • Chang, Ki-Tae
    • Journal of the Korean Geophysical Society
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    • v.8 no.3
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    • pp.123-130
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    • 2005
  • It is necessary, in the light of the importance of long-term slope stability problem, to develop a simple method or tool which can figure out the possible failure zone resulted from weathering effect and other factors. The FBG sensor system is used to estimate the correlations between the temperature and the slope in Kimhae, and to find a failure zone in slopes effectively. This research is to seek for the correlation between the soil temperature distribution and the strain distribution in a active zone by analyzing the data from the in-situ measurement so that the possible failure zone should be well defined based on the correlation. For instance, the zone of high temperature fluctuation can be regarded as one of the possible sliding zone due to the weathering effect while the constant temperature depth of the ground, if exists would not be relatively affected by the weathering process.

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