• Title/Summary/Keyword: Diagnostic Tool

Search Result 989, Processing Time 0.022 seconds

CNC-implemented Fault Diagnosis and Web-based Remote Services

  • Kim Dong Hoon;Kim Sun Ho;Koh Kwang Sik
    • Journal of Mechanical Science and Technology
    • /
    • v.19 no.5
    • /
    • pp.1095-1106
    • /
    • 2005
  • Recently, the conventional controller of machine-tool has been increasingly replaced by the PC-based open architecture controller, which is independent of the CNC vendor and on which it is possible to implement user-defined application programs. This paper proposes CNC­implemented fault diagnosis and web-based remote services for machine-tool with open architecture CNC. The faults of CNC machine-tool are defined as the operational faults occupied by over $70{\%}$ of all faults. The operational faults are unpredictable as they occur without any warning. Two diagnostic models, the switching function and the step switching function, were proposed in order to diagnose faults efficiently. The faults were automatically diagnosed through the fault diagnosis system using the two diagnostic models. A suitable interface environment between CNC and developed application modules was constructed for the internal function of CNC. In addition, a suitable web environment was constructed for remote services. The web service functions, such as remote monitoring and remote control, were implemented, and their operability was tested through the web. The results obtained through this research could be a model of fault diagnosis and remote servicing for machine-tool with open architecture CNC.

Characteristics of Patients with Allergic Rhinitis through the Pattern Questionnaire Items (변증 설문지 문항을 통해 살펴 본 알레르기 비염 환자의 특성)

  • Son, Jae-Woong;Lee, Kyu-Jin;Jang, Bo-Hyeong;Jang, Soobin;Ko, Seong-Gyu;Choi, In-Hwa
    • Journal of Society of Preventive Korean Medicine
    • /
    • v.18 no.3
    • /
    • pp.81-90
    • /
    • 2014
  • Objective : We performed a clinical study to investigate pattern characteristics in persistent allergic rhinitis depending on Korean Medicine pattern questionnaire items as a pattern identification diagnostic tool. Method : 32 patients with persistent allergic rhinitis were asked to interview with doctor of Korean Medicine and perform the 4 pattern questionnaires(Cold-Heat Pattern, Phlegm Pattern, Yin Deficiency pattern, bloodstasis pattern). Then, we analyzed the response rate of each pattern questionnaires. Results : After diagnosis of Korean Medicine Doctor's pattern identification, 17 individual items have higher response rate, 7 of 17 items have a common tendency in allergic rhinitis. The other 8 of 10 items belong to Lung qi deficiency cold and Lung-spleen qi deficiency group, these have higher tendency of deficiency. In bloodstasis pattern questionnaires, we don't decide the tendency of patients with allergic rhinitis. Conclusion : The result may provide that we don't use Korean Medicine pattern questionnaires as a major tool in the pattern identification of allergic rhinitis. Continuous studies are needed to develop the standardized pattern identification diagnostic tool.

A Study on the Development and Validation of Learning Status Diagnostic Tool (학습상황진단도구 개발 사례 연구 : K대학교를 중심으로)

  • Lee, Seong Ah
    • Journal of Christian Education in Korea
    • /
    • v.64
    • /
    • pp.409-444
    • /
    • 2020
  • The purpose of this study is to develop and propose a tool for accurately diagnosing factors influencing academic activities in Christian University. The first, the evaluation area is composed of factors that influence the academic life of students. Then, by developing a tool to diagnose the status in that areas, it is intended to provide a basis for providing appropriate help for students to adjust to university life. This tool composed items through prior research and developed a draft of tool through Delphi research. The draft tool was verified for reliability and validity by analyzing the response values of 182 freshmen at K University. As a result of the analysis, the reliability showed high reliability of .869~.955 for each diagnosis area. In conclusion, through the results of EFA and CFA, a final diagnostic tool was developed and suggested.

New Diagnostic Tool for Far Lateral Lumbar Disc Herniation : The Clinical Usefulness of 3-Tesla Magnetic Resonance Myelography Comparing with the Discography CT

  • Kim, Duk-Gyu;Eun, Jong-Pil;Park, Jung-Soo
    • Journal of Korean Neurosurgical Society
    • /
    • v.52 no.2
    • /
    • pp.103-106
    • /
    • 2012
  • Objective : To prospectively assess the diagnostic and clinical value of a new technique (3-tesla magnetic resonance myelography, 3T MRM) as compared to computed tomographic discography (disco-CT) in patients with far lateral disc herniation. Methods : We evaluated 3T MRM and disco-CT of 25 patients, whom we suspected of suffering from far lateral disc herniation. Using an assessment scale, 4 observers examined independently both 3T MRM and disco-CT images. We analyzed observer agreement and the accentuation of each image. Results : We found complete matching, and observer agreement, between high resolution images of 3T MRM and disco-CT for diagnosing far lateral disc herniation. Conclusion : We think noninvasive 3T MRM is an appropriate diagnostic tool for far lateral disc herniation as compared to disco-CT.

MODELING FOR PROBING THE PHYSICAL STATES OF HII REGIONS (전리수소 영역의 물리량 측정을 위한 방출선 모형연구)

  • Sung, Hyun-Il
    • Publications of The Korean Astronomical Society
    • /
    • v.26 no.1
    • /
    • pp.25-35
    • /
    • 2011
  • A diagnostic tool has been proposed to convert the observed surface distribution of hydrogen recombination line intensities into the radial distributions of the electron temperature and the density in HII regions. The observed line intensity is given by an integral of the volume emission coefficient along the line of sight, which comprises the Abel type integral equation for the volume emission coefficient. As the emission coefficient at a position is determined by the temperature and density of electrons at the position, the local emission coefficient resulted from the solution of the Abel equation gives the radial distribution of the temperature and the density. A test has been done on the feasibility of our diagnostic approach to probing of HII regions. From model calculations of an HII region of pure hydrogen, we have theoretically generated the observed surface brightness of hydrogen recombination line intensities and analyzed them by our diagnostic tool. The resulting temperatures and densities are then compared with the model values. For this case of uniform density, errors in the derived density are not large at all the positions. For the electron temperature, however, the largest errors appear at the central part of the HII region. The errors in the derived temperature decrease with the radial distance, and become negligible in the outer part of the model HII region.

A Bayesian Diagnostic for Influential Observations in LDA

  • Lim, Jae-Hak;Lee, Chong-Hyung;Cho, Byung-Yup
    • Journal of Korean Society for Quality Management
    • /
    • v.28 no.1
    • /
    • pp.119-131
    • /
    • 2000
  • This paper suggests a new diagnostic measure for detecting influential observations in linear discriminant analysis (LDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the imaginary training sample methodology. The Bayes factor is taken as a criterion for testing homogeneity of covariance matrices in LDA model. It is noted that the effect of an observation over the criterion is fully explained by the diagnostic measure. We suggest a graphical method that can be taken as a tool for interpreting the diagnostic measure and detecting influential observations. Performance of the measure is examined through an illustrative example.

  • PDF

A Bayesian Diagnostic Measure and Stopping Rule for Detecting Influential Observations in Discriminant Analysis

  • Kim, Myung-Cheol;Kim, Hea-Jung
    • Journal of the Korean Statistical Society
    • /
    • v.29 no.3
    • /
    • pp.337-350
    • /
    • 2000
  • This paper suggests a new diagnostic measure and a stopping rule for detecting influential observations in multiple discriminant analysis (MDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the fractional Bayes factor methodology. The Bayes factor is taken as a discriminatory information in MDA. It is shown that the effect of an observation over the discriminatory information is fully explained by the diagnostic measure. Based on the measure, we suggest a stopping rule for detecting influential observations in a given training sample. As a tool for interpreting the measure a graphical method is sued. Performance of the method is used. Performance of the method is examined through two illustrative examples.

  • PDF

Chromosomal Microarray Testing in 42 Korean Patients with Unexplained Developmental Delay, Intellectual Disability, Autism Spectrum Disorders, and Multiple Congenital Anomalies

  • Lee, Sun Ho;Song, Wung Joo
    • Genomics & Informatics
    • /
    • v.15 no.3
    • /
    • pp.82-86
    • /
    • 2017
  • Chromosomal microarray (CMA) is a high-resolution, high-throughput method of identifying submicroscopic genomic copy number variations (CNVs). CMA has been established as the first-line diagnostic test for individuals with developmental delay (DD), intellectual disability (ID), autism spectrum disorders (ASDs), and multiple congenital anomalies (MCAs). CMA analysis was performed in 42 Korean patients who had been diagnosed with unexplained DD, ID, ASDs, and MCAs. Clinically relevant CNVs were discovered in 28 patients. Variants of unknown significance were detected in 13 patients. The diagnostic yield was high (66.7%). CMA is a superior diagnostic tool compared with conventional karyotyping and fluorescent in situ hybridization.

A Study on the Diagnosis of the Centrifugal Pump by the Intelligent Diagnostic Method (지능진단기법에 의한 원심펌프의 고장진단에 관한 연구)

  • Shin, Joon;Lee, Tae-Yeon
    • Transactions of the Korean Society of Machine Tool Engineers
    • /
    • v.12 no.4
    • /
    • pp.29-35
    • /
    • 2003
  • The rotating machineries always generate harmonic frequencies of their own rotating speed, and increment of vibration amplitude affects to the equipments which connected to the vibrational source and causes industrial calamities. The life cycle of equipments can be extended and damages to the human beings could be prevented by identifying the cause of malfunctions through prediction of the increment of vibration and records of vibrational history. In this study, therefore, diagnostic expert algorithm for the centrifugal pump is developed by integrating fuzzy inference method and signal processing techniques. And the validity of the developed diagnostic system is examined via various computer simulations.

A study on the design of fault diagnostic system based on PCA (PCA-기반 고장 진단 시스템 설계에 관한 연구)

  • Kim, Sung-Ho;Lee, Young-Sam;Han, Yoon-Jong
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.13 no.5
    • /
    • pp.600-605
    • /
    • 2003
  • PCA(Principle Component Analysis) has emerged as a useful tool for process monitoring and fault diagnosis. The general approach requires the user to identify the root cause by interpreting the residual or principle components. This could be tedious and often impossible for a large process. In this paper, PCA scheme is combined with the FCM-based fault diagnostic algorithm to enhance the diagnostic results. The implementation of the FCM-based fault diagnostic system by using PCA is done and its application is illustrated on the two-tank system.