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Journal articles on the topic 'Method of diagnosis'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Okhundjanovich, Daminov Akmal, and Olimjonova Guzal Olimjon qizi. "Prenatal diagnostic method." International Journal of Medical Sciences And Clinical Research 5, no. 4 (2025): 22–23. https://doi.org/10.37547/ijmscr/volume05issue04-04.

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Prenatal diagnostic methods are becoming very popular these days. This method is based onthe early detection of pregnancy-related problems, including potential genetic diseases. Prenatal diagnosis identifies all problems before birth, anatomical and physiological problems related to the health of the zygote, embryo or fetus. Prenatal diagnosis refers to the testing and evaluation of a fetus before birth to detect genetic, chromosomal, structural, or metabolic disorders. It helps in early identification of potential health issues, allowing for informed decision-making and possible interventions

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2

Ramberg, Kerstin. "The Diagnosis Method." AAOHN Journal 39, no. 7 (1991): 336–38. http://dx.doi.org/10.1177/216507999103900708.

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3

Ramineni, Vyshnavi, and Goo-Rak Kwon. "Diagnosis of Alzheimer’s Disease using Wrapper Feature Selection Method." Korean Institute of Smart Media 12, no. 3 (2023): 30–37. http://dx.doi.org/10.30693/smj.2023.12.3.30.

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Alzheimer’s disease (AD) symptoms are being treated by early diagnosis, where we can only slow the symptoms and research is still undergoing. In consideration, using T1-weighted images several classification models are proposed in Machine learning to identify AD. In this paper, we consider the improvised feature selection, to reduce the complexity by using wrapping techniques and Restricted Boltzmann Machine (RBM). This present work used the subcortical and cortical features of 278 subjects from the ADNI dataset to identify AD and sMRI. Multi-class classification is used for the experiment i.e

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4

Hattori, Kiyohiko, Keiki Takadama, Satoshi Murata, et al. "Autonomous Distributed Diagnosis Method." Transactions of the Japanese Society for Artificial Intelligence 21 (2006): 417–27. http://dx.doi.org/10.1527/tjsai.21.417.

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5

Darbra, R. M., A. Ronza, J. Casal, T. A. Stojanovic, and C. Wooldridge. "The Self Diagnosis Method." Marine Pollution Bulletin 48, no. 5-6 (2004): 420–28. http://dx.doi.org/10.1016/j.marpolbul.2003.10.023.

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6

HOSAKA, Shigetaka, and Isao TAKAMI. "Fault Diagnosis Method Using Fault Tree for Diagnosis." Transactions of the Society of Instrument and Control Engineers 26, no. 8 (1990): 878–85. http://dx.doi.org/10.9746/sicetr1965.26.878.

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7

Gao, Wen, Rong Yu, Zhaolei Yu, Zhuang Ma, and Md Masum. "Auxiliary Diagnosis Method of Chest Pain Based on Machine Learning." International Journal of Engineering and Technology 14, no. 4 (2022): 79–83. http://dx.doi.org/10.7763/ijet.2022.v14.1207.

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Chest pain is sudden, its pathological causes are complex and various, fatal or non-fatal so that improving the diagnostic accuracy is extremely important in the emergency system of prehospital and hospitals. Therefore, we propose a method of introducing a decision tree, support vector machine, and KNN algorithm in machine learning into the auxiliary diagnosis of chest pain. First select the algorithm with better performance among decision tree, support vector machine, and KNN algorithm; Then compare the classification performance of the CART algorithm, the support vector machine using the Gau

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8

Wei-Fang Li, Wei-Fang Li, Hai-Xin You Wei-Fang Li, and Xiao-Yu Guo Hai-Xin You. "Intelligent Diagnosis Method for Orthopedic Diseases Based on Medical Images." 電腦學刊 34, no. 5 (2023): 205–12. http://dx.doi.org/10.53106/199115992023103405016.

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<p>This article proposes an orthopedic image recognition method based on an improved convolutional neural network to address the traditional diagnostic methods of orthopedic diseases and the diverse types of orthopedic diseases in the diagnostic process. This method uses a fixed convolutional number to extract key features of orthopedic diseases and reduce the number of features. The article takes the diagnosis of gout in bone diseases as an example and designs an evaluation method based on visualization technology and quantitative indicator calculation. The quantitative indicator calcul

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9

Xiaolu Wang, Xiaolu Wang, Aohan Li Xiaolu Wang, Guangjie Han Aohan Li, and Yanqing Cui Guangjie Han. "A Motor Fault Diagnosis Method Based on Industrial Wireless Sensor Networks." 電腦學刊 33, no. 2 (2022): 127–36. http://dx.doi.org/10.53106/199115992022043302011.

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<p>Nowadays, with the development of the Internet of Things (IoT), the relationship between sensor manufacturing technology and wireless network communication technology is getting closer. It is a great direction that diagnosing motor fault using the sensors with information perception, data processing, and wireless communication capabilities. To reduce the memory requirements, and improve the accuracy and stability of the fault diagnosis, we propose a motor fault diagnosis method based on the industrial wireless sensor network. Our proposed method includes an early warning method based

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10

Xiaolu Wang, Xiaolu Wang, Aohan Li Xiaolu Wang, Guangjie Han Aohan Li, and Yanqing Cui Guangjie Han. "A Motor Fault Diagnosis Method Based on Industrial Wireless Sensor Networks." 電腦學刊 33, no. 2 (2022): 127–36. http://dx.doi.org/10.53106/199115992022043302011.

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<p>Nowadays, with the development of the Internet of Things (IoT), the relationship between sensor manufacturing technology and wireless network communication technology is getting closer. It is a great direction that diagnosing motor fault using the sensors with information perception, data processing, and wireless communication capabilities. To reduce the memory requirements, and improve the accuracy and stability of the fault diagnosis, we propose a motor fault diagnosis method based on the industrial wireless sensor network. Our proposed method includes an early warning method based

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11

Lu, Mingxu, and Hongling Bie. "On-line Diagnosis Method of Power Electronics Fault Diagnosis." Journal of Physics: Conference Series 2143, no. 1 (2021): 012027. http://dx.doi.org/10.1088/1742-6596/2143/1/012027.

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Abstract With the development of science and technology, the application of computer technology in electronic power fault diagnosis technology has become more and more extensive. This article mainly studies the detection methods of power electronics and the application of power electronics circuit fault diagnosis.

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12

Paschoal, Regina Célia, Mário Hiroyuki Hirata, Rosário Crespo Hirata, Márcia de Souza Carvalho Melhem, Amanda Latercia Tranches Dias, and Claudete Rodrigues Paula. "Neurocryptococcosis: diagnosis by PCR method." Revista do Instituto de Medicina Tropical de São Paulo 46, no. 4 (2004): 203–7. http://dx.doi.org/10.1590/s0036-46652004000400006.

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Cryptococcus neoformans detection was optimized using PCR technique with the objective of application in the clinical laboratory diagnosis. The amplification area was ITS and 5,6S which encodes the ribosomal RNA (rRNA). A total of 72 cerebrospinal fluid (CSF) samples were used, obtained from cases with and without AIDS. The patients had cryptococcal meningitis (n = 56) and meningitis caused by other agents (n = 16). The results demonstrated that PCR test had the highest sensitivity rates, superior to culture (85.7%) and to India ink test (76.8%). PCR was found to be sensitive in detecting 1 ce

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13

Mosalov, O. P., O. Yu Rebrova, and V. G. Red’ko. "Neuroevolutionary method of stroke diagnosis." Optical Memory and Neural Networks 16, no. 2 (2007): 99–103. http://dx.doi.org/10.3103/s1060992x07020063.

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14

Stancu, Adrian, Alina Ghise, Marius Pente, et al. "Immunohistochemical Diagnosis Method in Parvovirus." Revista de Chimie 71, no. 7 (2020): 491–96. http://dx.doi.org/10.37358/rc.20.7.8268.

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10 cases of histopathologically suggestive lesions for parvovirus in the canine species were examined by the avidin-biotin-peroxidase complex. For this, a mouse monoclonal antibody was used. Following the immunohistochemical examination, positive results were obtained in 80% (8 dogs) of processed samples. The most frequent positive immunohistochemical reaction was observed in macrophages, lymphocytes, necrotic cells of the intestinal crypt, evidence of parvoviral antigen is reliable for determining the etiology of the disease if parvovirus is suspected on the basis of the lesions. In order to

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15

Itoh, Fumio, and Kohzoh Imai. "Genetic diagnosis: A troublesome method?" Journal of Gastroenterology 33, no. 5 (1998): 777–78. http://dx.doi.org/10.1007/s005350050174.

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16

Slobodyan, M. S., S. A. Shishigin, and S. M. Slobodyan. "Method of acoustic sensor diagnosis." Measurement Techniques 51, no. 7 (2008): 798–801. http://dx.doi.org/10.1007/s11018-008-9121-2.

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17

Komura, Hidemichi. "Fault diagnosis method and apparatus." Journal of the Acoustical Society of America 115, no. 3 (2004): 953. http://dx.doi.org/10.1121/1.1697746.

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18

Qi, Hai-Tao, Dong-Ao Zhao, Duo Liu, and Xu Liu. "Double Redundancy Electro-Hydrostatic Actuator Fault Diagnosis Method Based on Progressive Fault Diagnosis Method." Actuators 11, no. 9 (2022): 264. http://dx.doi.org/10.3390/act11090264.

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The electro-hydrostatic actuator (EHA) is the key component of most electric aircraft, and research on its fault diagnosis technology is of great significance to improve the safety and reliability of aircraft flight. However, traditional fault diagnosis methods only focus on partial failures and cannot completely diagnose the whole EHA system. In this paper, the progressive fault diagnosis method (PFDM) is proposed for overall diagnosis of whole EHA system, which can be divided into four levels for health detection and fault diagnosis of the overall EHA system. PFDM combines fault diagnosis me

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19

FENG, Fang, Peng CHEN, Toshio TOYOTA, Xinfang LIU, and Hiroshi SHIMAZU. "Dynamics and Diagnosis Method on Gear Drive. 2nd Report. Dynamic Characteristics and Diagnosis Method." Transactions of the Japan Society of Mechanical Engineers Series C 67, no. 657 (2001): 1591–98. http://dx.doi.org/10.1299/kikaic.67.1591.

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20

Qin, Yan, and Ouyang Wang. "Federated fault diagnosis method for collaborative self-diagnosis and cross-robot peer diagnosis." PLOS One 20, no. 7 (2025): e0322484. https://doi.org/10.1371/journal.pone.0322484.

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In multi-robot collaboration, individual failures can propagate to other robots due to the topological coupling between them. Existing fault diagnosis models are designed for single robots and fail to meet the practical requirements of multi-robot scenarios. To address this, this study develops a federated learning-based fault self-diagnosis model for individual robots and a multi-robot mutual diagnosis model that accounts for group behavior consistency. This approach effectively isolates faulty robots in multi-robot systems. Initially, each robot’s local data is encoded using the Gramian Angu

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21

CHEN, Peng, Fang FENG, and Toshio TOYOTA. "803 Dynamics and diagnosis Method on Gear Drive : 3^ Report, Diagnosis Method of Faulty stats." Proceedings of Conference of Kyushu Branch 2001.54 (2001): 225–26. http://dx.doi.org/10.1299/jsmekyushu.2001.54.225.

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22

HIRATSUKA, Satoshi, Hsin-Hung LU, and Akira FUSAOKA. "An On-Board Diagnosis Method Based on Model-Based Diagnosis." Transactions of the Institute of Systems, Control and Information Engineers 20, no. 8 (2007): 321–30. http://dx.doi.org/10.5687/iscie.20.321.

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23

HAN, SHUWEN, XI YANG, QUAN QI, et al. "Potential screening and early diagnosis method for cancer: Tongue diagnosis." International Journal of Oncology 48, no. 6 (2016): 2257–64. http://dx.doi.org/10.3892/ijo.2016.3466.

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24

Fu, Li, Luo Zhengpei, and Hu Yongming. "Core failure diagnosis method based on harmonics synthesis method." Progress in Nuclear Energy 34, no. 2 (1999): 143–46. http://dx.doi.org/10.1016/s0149-1970(97)00111-x.

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25

Yi-Hui Chen, Yi-Hui Chen. "A Computer-Aided Intelligent Fault Diagnosis Method for Axial Hydraulic Piston Pump." 電腦學刊 34, no. 2 (2023): 233–46. http://dx.doi.org/10.53106/199115992023043402018.

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<p>Axial hydraulic piston pump is widely used in industrial production due to its high pressure resistance and large displacement characteristics, but high pressure and large displacement are also the main causes of piston pump failure. Starting from the fault mechanism of the axial hydraulic piston pump, this paper analyzes and studies the signal characteristics of the fault, and establishes the fault signal acquisition and analysis model. Finally, it discusses the construction of the diagnosis system from both hardware and software, so that the processed typical fault signals can be se

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26

Fino, Nora, Benjamin Haaland, Karl Madaras-Kelly, et al. "Novel Method to Evaluate Diagnostic Shifting After a Pediatric Antibiotic Stewardship Intervention." Infection Control & Hospital Epidemiology 41, S1 (2020): s332—s333. http://dx.doi.org/10.1017/ice.2020.937.

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Background: Audit-and-feedback interventions track clinician practice patterns for a targeted practice behavior. Audit and feedback of antibiotic prescribing data for acute respiratory infections (ARI) is an effective stewardship strategy that relies on administrative coding to identify eligible visits for audit. Diagnostic shifting is the misclassification of a patient’s diagnosis in response to audit and feedback and is a potential unintended consequence of audit and feedback. Objective: To develop a method to identify patterns consistent with diagnostic shifting including both positive shif

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27

Dorostghol, Ali, and Masoud Dorfeshan. "Intelligent Fault Diagnosis via EMD Method." Journal of Applied Sciences 12, no. 18 (2012): 1960–65. http://dx.doi.org/10.3923/jas.2012.1960.1965.

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28

ZHOU, Fu-Na, Cheng-Lin WEN, Tian-Hao TANG, and Zhi-Guo CHEN. "DCA Based Multiple Faults Diagnosis Method." Acta Automatica Sinica 35, no. 7 (2009): 971–82. http://dx.doi.org/10.3724/sp.j.1004.2009.00971.

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29

Zhao, Yu, Wei Xiong, Huang Qiang Li, and Shi Yong Yang. "Power System Fault Diagnosis Method Summary." Applied Mechanics and Materials 670-671 (October 2014): 1179–83. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1179.

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Combined with the power system fault diagnosis current situation, fault diagnosis methods are important to shorten fault outage time, prevent accident expanding and restore power quickly. We summed up expert system, artificial neural network, Petri network and Bayesian network fault diagnosis methods. The diagnosis principle, advantages and disadvantages of different methods were discussed.

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30

Rehák, štefan, Peter Stradiot, Karol Kňava, ľubica Kopčová, and Viliam Novák. "Method of wetlands water regimen diagnosis." Acta Hydrologica Slovaca 21, no. 1 (2020): 82–88. http://dx.doi.org/10.31577/ahs-2020-0021.01.0010.

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31

Caldeira, Deize, André de Castro Linhares, Marcelo Bettega, Aniele C. O. Clemente, Mirnaluci P. R. Gama, and Paulo R. F. Rossi. "A1C as a diabetes diagnosis method." Journal of Cardiovascular Medicine 14, no. 11 (2013): 827–32. http://dx.doi.org/10.2459/jcm.0b013e3283600a1f.

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32

Niu, Qingliang, Yuli Gong, Guocheng Tian, and Chuanling Liu. "Diagnosis method of turbine blade loosening." Journal of Physics: Conference Series 1986, no. 1 (2021): 012075. http://dx.doi.org/10.1088/1742-6596/1986/1/012075.

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33

DOU, Dan-dan, Qiang XIE, and Qiu-lin DING. "Fault diagnosis method based on Ontology." Journal of Computer Applications 29, no. 2 (2009): 574–76. http://dx.doi.org/10.3724/sp.j.1087.2009.00574.

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34

Paul, Jim. "BETWEEN‐METHOD TRIANGULATION IN ORGANIZATIONAL DIAGNOSIS." International Journal of Organizational Analysis 4, no. 2 (1996): 135–53. http://dx.doi.org/10.1108/eb028845.

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35

Yang, Xiaofan, Chunming Zhang, and Weimin Chen. "A Deflection-Based Bridge Diagnosis Method." Mathematical Problems in Engineering 2009 (2009): 1–12. http://dx.doi.org/10.1155/2009/284368.

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By exploiting the “correlation of deflections” phenomena, we propose a new bridge diagnosis method. First, we introduce the notion of deflection correlation (DC) graphs and propose a method for building a DC graph. Second, we present a new algorithm for locating the abnormal cliques. Finally, we demonstrate the potential utility of the new method by applying it to the simulated diagnosis of a real-life bridge.

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36

Yoon, Sook Hyang, Yoshihisa Koga, Isao Matsumoto, and Etsutaro Ikezono. "An Objective Method of Pulse Diagnosis." American Journal of Chinese Medicine 15, no. 03n04 (1987): 147–53. http://dx.doi.org/10.1142/s0192415x87000199.

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One component of Oriental medical diagnosis is pulse diagnosis. To make this method more objective, three pressure transducers were positioned over the radial artery and the absolute pressure of 50,100 and 150 g as applied at three positions to stimulate the classical pulse diagnosis. The transient pressure changes at the three positions were not equal even when the same absoulte pressure was applied. Pressures were compared in superficial and deep locations, right and left wrist. The largest deflection was consdered as excess and the smallest as depletion in twelve meridians.

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37

Hu, Ziyang. "Acoustic Diagnosis Method for Engine Failure." IOP Conference Series: Materials Science and Engineering 677 (December 10, 2019): 032058. http://dx.doi.org/10.1088/1757-899x/677/3/032058.

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38

Brotskyi, N. O. "Ricketts cephalometric method in orthodontic diagnosis." Reports of Vinnytsia National Medical University 28, no. 2 (2024): 309–13. http://dx.doi.org/10.31393/reports-vnmedical-2024-28(2)-22.

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Annotation. Cephalometric techniques are key tools in orthodontic diagnosis, planning and evaluation of treatment results. The Ricketts method is important because of its accuracy and reliability. Features of the approach to the analysis of craniofacial structures require detailed analysis to optimize the choice of this method depending on specific clinical situations. In this regard, there is a need for a review of new literary sources related to this topic, as it provides a systematic review of the specified technique, which will help orthodontists to improve the efficiency of diagnosis and

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39

Teele, John H. "Ear pathology diagnosis apparatus and method." Journal of the Acoustical Society of America 81, no. 2 (1987): 584. http://dx.doi.org/10.1121/1.394869.

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40

Hayes, Joseph, and Vaughan Bell. "Diagnosis: one useful method among many." Lancet Psychiatry 1, no. 6 (2014): 412–13. http://dx.doi.org/10.1016/s2215-0366(14)70399-2.

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41

DUFFY, FRANK H. "The BEAM Method for Neurophysiological Diagnosis." Annals of the New York Academy of Sciences 457, no. 1 Hope for a Ne (1985): 19–34. http://dx.doi.org/10.1111/j.1749-6632.1985.tb20797.x.

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42

Fu, Sheng, and Yinbo Gao. "Fan blade crack diagnosis method study." Advances in Mechanical Engineering 8, no. 5 (2016): 168781401664951. http://dx.doi.org/10.1177/1687814016649515.

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43

Teele, John H. "Ear pathology diagnosis apparatus and method." Journal of the Acoustical Society of America 77, no. 1 (1985): 340. http://dx.doi.org/10.1121/1.391895.

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44

Sato, Kazuo, Motoji Ohmori, Masakazu Takasumi, Motohiro Shiga, Koki Shiohata, and Fumio Fujisawa. "Vibration diagnosis method for rotary machine." Journal of the Acoustical Society of America 77, no. 2 (1985): 777. http://dx.doi.org/10.1121/1.392326.

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45

Oliva, J. A., C. Balado, A. Conesa, et al. "Lysis–centrifugation method in peritonitis diagnosis." Nephrology Dialysis Transplantation 10, no. 7 (1995): 1257–58. http://dx.doi.org/10.1093/ndt/10.7.1257.

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46

Girard, P., C. Landrault, and S. Pravossoudovitch. "Reliable method for delay-fault diagnosis." Electronics Letters 27, no. 20 (1991): 1841. http://dx.doi.org/10.1049/el:19911144.

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47

Ackerman, A. B. "Algorithmic Method for Diagnosis of Alopecia." American Journal of Dermatopathology 19, no. 4 (1997): 423. http://dx.doi.org/10.1097/00000372-199708000-00022.

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48

Osterholm, Jewell L. "Method and apparatus for tomographic diagnosis." International Journal of Radiation Applications and Instrumentation. Part B. Nuclear Medicine and Biology 13, no. 5 (1986): iv. http://dx.doi.org/10.1016/0883-2897(86)90156-x.

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49

Blahitko, B. Ya, V. I. Bryhilevych, and V. H. Rabik. "Method of diagnosis of mechatronic systems." Electronics and Communications 15, no. 4 (2010): 78–82. https://doi.org/10.20535/2312-1807.2010.15.4.301280.

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The paper proposes a unified methodology for fault diagnosis of mechatronic systems. System models including electronic, mechanical and coupling subparts are developed. A diagnosis algorithm originally introduced for electronic circuits, is extended to mechatronic systems. Differences of the application are also pointed out: large spread in time constants, different levels of measurement noise in different subparts. The robot arm is tested to confirm effectiveness of the method

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50

Ying-Ji Liu, Ying-Ji Liu, Qi-Hang Wang Ying-Ji Liu, Hai-Ying Xia Qi-Hang Wang, Xin-Lei Wei Hai-Ying Xia, Hong Jia Xin-Lei Wei, and Guo-Liang Dong Hong Jia. "Research for Fault Diagnosis Method and System for Diesel Engine Based on ANFIS." 電腦學刊 33, no. 1 (2022): 179–88. http://dx.doi.org/10.53106/199115992022023301016.

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<p>After compliance verification, operating vehicles can enter the road transportation market. Diesel engine is the main power source of these vehicles, there will be some typical faults during the use of diesel engine, which will affect the technical status of vehicles. According to the fault diagnosis problem of diesel engine, a fault diagnosis method based on Adaptive-Network-Based Fuzzy Inference System(ANFIS) was proposed, Subtractive clustering algorithm was used to confirm the original structure of fuzzy inference model, and ANFIS was used to build an original fault diagnosis mode

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