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VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table
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“The C4.5-induced decision tree has been introduced into the fault diagnosis of rolling element bearings [82,301,302], gearboxes [303], rotor systems [304], and centrifugal pumps [305].”
From Applications of machine learning to machine fault diagnosis: A review and roadmap (2020) · cites this paper as [82]
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Applications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997
Self-citationA summary of fault modelling and predictive health monitoring of rolling element bearings
El‐Thalji, I., & Jantunen, E. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.02.008 · Cited by 447
A Review on Vibration-Based Condition Monitoring of Rotating Machinery
Tiboni, M., Remino, C., Bussola, R., & Amici, C. (2022) · Applied Sciences · doi:10.3390/app12030972 · Cited by 322
Decision tree and PCA-based fault diagnosis of rotating machinery
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“…several data and model-based techniques have been introduced including signal pro-cessing-based techniques [78, 79], image processing based techniques [80–83], intelligent techniques [84, 85], data fusion techniques [86–90], data mining techniques [91–96], and expert system techniques [97–99].”
MethodSounds and acoustic emission-based early fault diagnosis of induction motor: A review study
AlShorman, O., Alkahatni, F., Masadeh, M., Irfan, M., Głowacz, A., Althobiani, F., Kozik, J., & Glowacz, W. (2021) · Advances in Mechanical Engineering · doi:10.1177/1687814021996915 · Cited by 195
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Intelligent fault diagnosis of rotating machinery using infrared thermal image
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Self-citationExpert system development for vibration analysis in machine condition monitoring
Ebersbach, S., & Peng, Z. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.09.029 · Cited by 120
“Although an expert system for vibration analysis has recently been developed (Yang et al., 2005), VES is significantly different by allowing data interpretation with very limited operator input, as well as high fault detection ability using multiple analysis techniques.”
MethodDou, D., & Shishuai, Z. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.05.015 · Cited by 118
Application of dispersion entropy to status characterization of rotary machines
Rostaghi, M., Ashory, M. R., & Azami, H. (2018) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2018.08.025 · Cited by 105
Fault diagnosis of rotating machinery based on multiple probabilistic classifiers
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“The rule-based reasoning was achieved better diagnosis performance for FD of marine diesel engines [81], centrifugal pumps [82], hydraulic systems [83], and bearings [84].”
BackgroundAn intelligent condition-based maintenance platform for rotating machinery
Tran, V. T., & Yang, B. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.08.159 · Cited by 87
“…method, which were used to extract salient features from raw noise and vibration signals, were combined with self-organizing feature map, learning vector quantization and support vector machine (SVM) for detecting and classifying faults of reciprocating refrigerator compressors (Yang et al., 2005).”
BackgroundMethodSelf-citationA roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Vashishtha, G., Chauhan, S., Sehri, M., Zimroz, R., Dumond, P., Kumar, R., & Gupta, M. K. (2024) · Measurement · doi:10.1016/j.measurement.2024.116216 · Cited by 100
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Graph-based semi-supervised random forest for rotating machinery gearbox fault diagnosis
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Rotating Machinery Diagnostics Using Deep Learning on Orbit Plot Images
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Technology development and commercial applications of industrial fault diagnosis system: a review
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“Knowledge-based approaches evaluate the similarity between the observed condition and a database of previously defined failures to deduce the health of machinery [93].”
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Machine Fault Diagnosis and Prognosis: The State of The Art
Tung, T. V., & Yang, B. (2009) · International Journal of Fluid Machinery and Systems · doi:10.5293/ijfms.2009.2.1.061 · Cited by 60
“[42] proposed an expert system, namely VIBEX, to aid plant operators in diagnosing the cause of abnormal vibration for rotating machinery.”
BackgroundSelf-citationFault diagnosis on production systems with support vector machine and decision trees algorithms
Demetgül, M. (2012) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-012-4639-5 · Cited by 59
“One branch is a chain of nodes from the root node to a leaf [32].”
BackgroundA rule-based intelligent method for fault diagnosis of rotating machinery
Dou, D., Yang, J., Liu, J., & Zhao, Y. (2012) · Knowledge-Based Systems · doi:10.1016/j.knosys.2012.05.013 · Cited by 55
“a decision table (DT), for quick comprehension and a concise representation [14].”
BackgroundA vibration cavitation sensitivity parameter based on spectral and statistical methods
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Condition monitoring of distributed systems using two-stage Bayesian inference data fusion
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“A number of decision making and ruled-based process models have been proposed to meet the objectives of clarity, conciseness, and compre-hensibility (Yang et al. 2005), and these have attracted considerable attention.”
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“For example, neural networks (Chen and Chen, 2011), support vector machines (Deng et al., 2011), and Bayesian classifiers (Yang et al., 2005) have all been applied.”
BackgroundMethodPsychoacoustic approach for cavitation detection in centrifugal pumps
Murovec, J., Čurović, L., Novaković, T., et al. (2020) · Applied Acoustics · doi:10.1016/j.apacoust.2020.107323 · Cited by 49
Industrial Expert Systems Review: A Comprehensive Analysis of Typical Applications
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A fuzzy transition based approach for fault severity prediction in helical gearboxes
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“In [7], an expert system is proposed as a tool for diagnosing the cause of abnormal vibration in rotating machinery and a decision tree is used for the acquisition of structured knowledge.”
MethodFuzzy logic-based attenuation relationships of strong motion earthquake records
Ahumada, A., Altunkaynak, A., & Ayoub, A. S. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.09.035 · Cited by 34
“A study made by Yang et al. (2005) established an expert system called VIBEX (VIBration EXpert) in order to aid plant operators in diagnosing the cause of abnormal vibration for rotating machinery.”
Expert condition monitoring on hydrostatic self-levitating bearings
García, R. F., ROLLE, J. L. C., Gómez, M. R., et al. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.12.013 · Cited by 33
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HYDES: A Web-based hydro turbine fault diagnosis system
Song, G., He, Y., Chu, F., et al. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.10.017 · Cited by 28
“…(Cunningham, Smyth, & Bonzano, 1998), neural network (Mohamed, Abdelaziz, & Mostafa, 2005; Yang, Han, & An, 2004), rough set theory (Tay & Shen, 2003; Wang & Li, 2004), fuzzy logic (Dash, Rengaswamy, & Venkatasubramanian, 2003; Tarifa & Scenna, 2004) and statistical method (Yang, Lim, & Tan, 2005).”
Application of multiclass support vector machines for fault diagnosis of field air defense gun
Deng, S. H., Lin, S.-Y., & Chang, W.-L. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.11.020 · Cited by 28
A Review of Machinery Diagnostics and Prognostics Implemented on a Centrifugal Pump
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Artificial Intelligence in Maintenance
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“Rules might be elicited directly from experts or induced via some machine learning approach such as decision trees (Yang et al , 2005) or rough sets (Wang and Li, 2004).”
BackgroundPlanning of educational training courses by data mining: Using China Motor Corporation as an example
Huang, C.-T., Lin, W., Wang, S.-T., & Wang, W.-S. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.09.009 · Cited by 23
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Fault Diagnosis of Steam Turbine-Generator Sets Using an EPSO-Based Support Vector Classifier
Sun, H., Huang, C., & Huang, Y.-C. (2012) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2012.2227747 · Cited by 20
“The expert system technique [2]–[5] combines an inference engine with a range of knowledge to develop guidelines for the automatic diagnosis of faults in an”
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Wang, W., Li, Y., & Song, Y. (2021) · Applied Soft Computing · doi:10.1016/j.asoc.2021.108293 · Cited by 17
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“Several studies have associated data mining techniques with vibration analysis: such as neural networks for diagnosing bearings [1], support vector machines for diagnosing an engine [2], decision tree and decision table for the diagnosis of rotating machines [3-4], decision tree and fuzzy logic for the selection of in…”
BackgroundReinforcing fuzzy rule-based diagnosis of turbomachines with case-based reasoning
Yang, M., & Shen, Q. (2008) · International Journal of Knowledge-based and Intelligent Engineering Systems · doi:10.3233/kes-2008-12208 · Cited by 16
“A similar approach is more recently reported in [17], supported with full implementation.”
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A Universal Fault Diagnostic Expert System Based on Bayesian Network
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“[4] proposed an expert system using a decision table based on the cause-symptom matrix as probabilistic method to aid plant operators in diagnosing the cause of abnormal vibration for rotating machinery.”
BackgroundMethodHigh-vibration diagnosis of gas turbines: An experimental investigation
Akhtar, M., Kamran, M. S., Hayat, N., et al. (2020) · Journal of Vibration and Control · doi:10.1177/1077546320923917 · Cited by 13
“Various other techniques, such as intelligent reasoning and case studies, have been developed to identify and address the vibration problem (Eckert and Schmied, 2008; Tang and Volponi, 2018; Yang et al., 2005; Zargar, 2014).”
MethodAn axiomatic fuzzy set theory-based fault diagnosis approach for rolling bearings
Wang, X., Liu, H., Zhai, W., et al. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108995 · Cited by 12
Behaviour analysis of internet survey completion using decision trees
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“Decision trees and their variations have been applied widely to solve real-world classification problems with successful applications (Indurkhya and Weiss, 1998; Tsujino, 1995; Yang et al., 2005; Mugambi et al., 2004; Sarasin, 2001; Wang and Chan, 2006; Deng, 1996; Mendonca et al., 2007).”
BackgroundSelf-Tuning Routine Alarm Analysis of Vibration Signals in Steam Turbine Generators
Costello, J., West, G. M., McArthur, S. D. J., et al. (2012) · IEEE Transactions on Reliability · doi:10.1109/tr.2012.2209257 · Cited by 12
“Systems reliant on rules and heuristics have a distinguished history of application in the condition monitoring of a wide variety of engineering scenarios: turbine generators [5], [6], power transformers [11], [12], and power system fault analysis [13].”
BackgroundLee, S., Cheon, S.-U., & Yang, J. (2014) · Quality and Reliability Engineering International · doi:10.1002/qre.1639 · Cited by 11
“built a knowledge-based system for diagnosing faults caused by vibration in rotating machinery using induced inference, a decision tree, and a decision table.(4) Purkait and Chakravorti classified impulse faults by applying time and frequency domain analyses using the Fourier transform to construct a knowledge databas…”
MethodUsing artificial neural networks to enhance CART
Young, W. A., Weckman, G. R., Hari, V., et al. (2012) · Neural Computing and Applications · doi:10.1007/s00521-012-0887-4 · Cited by 10
“Because of CART’s predictive accuracy and transparency, it is used in many other fields of study including stock trading [21], manufacturing [22], medical diagnosis [23], meteorology [24], physics [7], economy [25], education [26], e-commerce [26], ecology [15], analytical chemistry discovery [14], and real estate mor…”
BackgroundA Study on Machine Fault Diagnosis using Decision Tree
Nguyen, T. N., Kwon, J.-M., & Lee, H. (2007) · Journal of Electrical Engineering and Technology · doi:10.5370/jeet.2007.2.4.461 · Cited by 10
“This paper proposes a decision tree with 12 common causes of machinery vibration (classes of decision tree) and its tests [7-9].”
BackgroundConceptual Design of Biocomposites for Automotive Components
Sanyang, M. L., Mansor, M. R., Sapuan, S. M., et al. (2017) · Green energy and technology · doi:10.1007/978-3-319-49382-4_5 · Cited by 9
Fuzzy diagnosis of turbomachines
Yang, M., & Shen, Q. (2008) · International Journal of Knowledge-based and Intelligent Engineering Systems · doi:10.3233/kes-2008-12205 · Cited by 8
“A similar approach is more recently reported in [17], supported with full implementation.”
A Survey on Data Mining for Data-Driven Industrial Assets Maintenance
Coronel, E., Barán, B., & Gardel-Sotomayor, P. E. (2025) · Technologies · doi:10.3390/technologies13020067 · Cited by 7
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Fantidis, J. G. (2015) · DergiPark (Istanbul University) · Cited by 7
Polar and Orbit Plot Analysis for Unbalance Identification in A Rotating System
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“Rao ,A fuzzy approach for the analysis of unbalanced nonlinear rotor systems , Journal of Sound and Vibration 284 (2005) 299–323 [11].”
MethodParameterisation of domain knowledge for rapid and iterative prototyping of knowledge-based systems
Young, A., West, G. M., Brown, B., et al. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118169 · Cited by 7
Development of the Task-Based Expert System for Machine Fault Diagnosis
Ma, B., Zhi-nong, J., & Zhong-qing, W. (2012) · Journal of Physics Conference Series · doi:10.1088/1742-6596/364/1/012043 · Cited by 7
“case-based reasoning [5], reasoning based on artificial neural network [6], reasoning based on rough set theory [7], model-based reasoning and diagnosis [8, 9], reasoning and diagnosis based on statistical methods [10], combining rule-based and case-based reasoning and diagnosis [11, 12].”
MethodLi, G., Hu, D., Guo, X., et al. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/adbb0f · Cited by 6
Hydraulic Fault Diagnosis Expert System of Excavator Based on Fault Tree
Li, G. P., & Zhang, Q. W. (2011) · Advanced materials research · doi:10.4028/www.scientific.net/amr.228-229.439 · Cited by 5
Biçen, Y., & Aras, F. (2015) · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · doi:10.3906/elk-1301-24 · Cited by 5
“There are advantages and disadvantages to the methods specified in relation to each other depending on the application field such as data evaluation, fault identification, classification, forecasting, optimization, and planning process [23–32].”
MethodFault Diagnosis of Pneumatic Valve Using PCA and ANN Techniques
Subbaraj, P., & Kannapiran, B. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-24043-0_41 · Cited by 5
“For example, expert system [2], neural network [3], soft-computing technology (fuzzy logic, rough set and genetic algorithm) [4, 5] and their integration method [6] are the popular approaches.”
MethodKnowledge-Based Expert System Development and Validation with Petri Nets
Tavana, M. (2008) · Journal of Information & Knowledge Management · doi:10.1142/s0219649208001907 · Cited by 5
Part 4a: Applications of knowledge-based system technology for the CO2capture process system
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Cloud-Based Intelligent DSS Design for Emergency Professionals
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Intelligent Approaches for Vibration Fault Diagnosis of Steam Turbine-Generator Sets
Huang, Y.-C., Liu, C.-Y., & Huang, C. (2014) · Lecture notes in electrical engineering · doi:10.1007/978-3-319-04573-3_73 · Cited by 4
A VIBRATION FAULT DIAGNOSIS SYSTEM OF HGS BASED ON FNN
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Development of Rule-Based Diagnostic Automation Technology for Elevator Fault Diagnosis
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“Rule-based diagnosis is a system that creates a decision tree based on expert knowledge and an inference engine, allowing non-experts to arrive at the same conclusions as experts through responses to attributes [30–32].”
Self-tuning diagnosis of routine alarms in rotating plant items
Costello, J., West, G. M., McArthur, S. D. J., et al. (2011) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · Cited by 3
An Expert Fault Diagnosis System for Vehicle Air Conditioning Product Development
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Machine Condition Monitoring and Remaining Life Prediction Using Integrated Approach
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“The improvements of vibration has been both in detection algorithms, as well as the use of artificial intelligence for faster and objective fault detection [ 5 , 6]. Fuzzy logic, neural networks and expert systems have been used in many industries for data analysis and interpretation for condition monitoring of equipm…”
MethodA Prototype of Knowledge-Based System for Fault Diagnosis in Automatic Wire Bonding Machine
Tan, C. F. (2008) · DergiPark (Istanbul University) · Cited by 3
Automated Vibration Analysis in Loaded Condition of Hydro Turbine Generator Sets
Yang, X., Li, Z., Hua, J., et al. (2012) · Asia-Pacific Power and Energy Engineering Conference (APPEEC) · doi:10.1109/appeec.2012.6307011 · Cited by 3
“The field of the vibration monitoring and analysis has been active during the past decade, and several diagnostic platforms have been proposed as expert systems [1-3], which play a great important role in vibration monitoring and diagnosis.”
BackgroundFault Diagnosis of Rotating Machinery Using Data Mining and CLIPS-Based Expert System
Dou, D., & Zhao, Y. (2008) · doi:10.1109/cccm.2008.120 · Cited by 3
Management of Knowledge Base of Expert System for Fault Diagnosis of Rotating Machinery
He, Q., & Li, X. Q. (2010) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.44-47.2935 · Cited by 3
A NEW WAVELET FEATURE FOR FAULT DIAGNOSIS OF ROLLER BEARINGS USING DECISION TREE
Manju, B. R., & Sugumaran, V. (2011) · Cited by 3
Learning-based Axial Video Motion Magnification
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Development and Use of a Virtual Laboratory of Measuring Devices
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“For instance, the VIBEX (VIBration EXpert) system helps factory operators diagnose the causes of abnormal vibrations in rotating machinery [9].”
Investigation of gas circulator response to load transients in nuclear power plant operation
Costello, J., West, G. M., McArthur, S. D. J., et al. (2012) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · Cited by 2
Analyzing Domain Expertise by Considering Variants of Knowledge in Multiple Time Scales
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STOCK MARKET PREDICTION USING CLUSTERING WITH META-HEURISTIC APPROACHES
Prasanna, S., & Ezhilmaran, D. (2014) · DergiPark (Istanbul University) · Cited by 2
Research on fault diagnosis of TBM main bearing based on improved BP neural network
Zhang, T., Geng, L., Chen, X., et al. (2012) · doi:10.1109/control.2012.6334694 · Cited by 2
“…INTRODUCTION TBM is the main construction machinery of the underground tunneling construction, it can prevent soft foundation excavation face collapse and keep excavation face stable, at the same time, it can also finished the tunnel excavation and lining operations securely in machine[1-2].”
BackgroundResearch and Implementation of an Expert System for Fault Diagnosis of Fan Based on Knowledge Rule
Wang, L., Sui, T. Z., Song, Y. J., et al. (2011) · Advanced materials research · doi:10.4028/www.scientific.net/amr.201-203.1989 · Cited by 2
Application of neural network-based expert system in drilling fault diagnosis
Jiang-ping, W., Bao, Z. F., & Xiang-qin, M. (2009) · Journal of Computer Applications · doi:10.3724/sp.j.1087.2009.00277 · Cited by 2
Metadata
- Authors
- YANG, B., LIM, D., & TAN, A.
- Affiliations
- Pukyong National University (KR)
- Hyosung Corporation (South Korea) (KR)
- Queensland University of Technology (AU)
- Corresponding author
- YANG, B
- ORCID
- TAN, A
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 28
- Issue
- 4
- Pages
- 735-742
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W1551846121
- Cited by
- 137
- References
- 0
- Citations by year
- 2025: 8 · 2024: 7 · 2023: 1 · 2022: 5 · 2021: 9 · 2020: 6 · 2019: 1 · 2018: 6 · 2017: 5 · 2016: 6 · 2015: 6 · 2014: 7 · 2013: 5 · 2012: 19
- FWCI
- 17.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- Faculty of Built Environment and Engineering
- Funders
- Seoul National University
- Pukyong National University
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Computational Techniques and Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Keywords
- vibration fault diagnosis, rotating machinery, expert systems, decision tree, decision tables, knowledge base acquisition, inductive reasoning, probabilistic diagnosis
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