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References

  • Alexander SM, Vaidya CM, Graham JH (1993) Model for the diagnosis of CIM equipment. Computer-Electronics Engineering 19:175–183

    Article  Google Scholar 

  • Angeli C, Chatzinkikoraou A (1985) An expert system approach to fault diagnosis in hydraulic systems. Expert Systems 12:323–329

    Article  Google Scholar 

  • BREU-CT-91-0463 (1992) MIRAM-Machine management for increasing the reliability, availability, and maintainability. Heckler & Koch, University of Wales

    Google Scholar 

  • Clark GE, Paasch RK (1997) Diagnostic modeling and diagnosability evaluation of mechanical systems. Journal of Mechanical Design 119:57–67.

    Google Scholar 

  • Czichos H (1980) Systems Approach to the analysis of wear problems. In: International Conference on Friction, Lubrication, and Wear in Engineering, Melbourne, Australia

    Google Scholar 

  • Czichos H (1978) Tribology-a systems approach to science and technology of friction, lubrication, and wear. Tribology Series-I, Elsevier, Amsterdam

    Google Scholar 

  • Das K, Lashkari RS, Sengupta S (2007) Reliability consideration in the design and analysis of cellular manufacturing systems. International Journal of Production Economics 105:243–262

    Article  Google Scholar 

  • Drake PR, Pan D (1996) Multiple fault diagnosis for a machine tool’s flood coolant system using a neural network. International Journal of Machine Tools & Manufacture 36:1247–1251

    Article  Google Scholar 

  • Freyermuth B (1991) Knowledge based incipient fault diagnosis of industrial robots. In: Safeprocess 91, Baden-Baden, Germany, pp 31–37

    Google Scholar 

  • Fussell JB (1975) A review of fault tree analysis with emphasis on limitations. In: Proc. IFAC 6th World Congress, Boston

    Google Scholar 

  • Fussel JB (1976) Fault tree analysis concepts and techniques. In: Henley EI, Lynn IW (eds) Generic techniques in systems and reliability assessment, Noordhoff International, Leyden

    Google Scholar 

  • Gandhi OP, Agrawal VP (1994) A digraph approach to system wear evaluation and analysis. Journal of Tribology 116:268–274

    Article  Google Scholar 

  • Gandhi OP, Agrawal VP (1996) Failure cause analysis-a structural approach. Journal of Pressure Vessel Technology 118:434–440

    Google Scholar 

  • Holloway LE, Krogh BH (1990) Fault detection and diagnosis in manufacturing system: a behavioral model approach. In: Proc. 2nd International Conference on CIM, Troy, New York

    Google Scholar 

  • Hu W, Starr AG, Leung AYT (1991) Two diagnostic models for PLC controlled flexible manufacturing systems. International Journal of Machine Tools & Manufacture 39:1979–1991

    Article  Google Scholar 

  • Hu W, Starr AG, Zhou Z, Leung AYT (2000) A systematic approach to integrated fault diagnosis of flexible manufacturing systems. International Journal of Machine Tools & Manufacture 40:1587–1602

    Article  Google Scholar 

  • Huang JT, Liao YS (2000) A wire-EDM maintenance and fault diagnosis expert system integrated with an artificial neural network. International Journal of Production Research 38:2459–2470

    Article  Google Scholar 

  • Isermann R (1991) Fault diagnosis of machines via parameter estimation and knowledge processing. Safeprocess 91, Baden-Baden, Germany, pp 121–134

    Google Scholar 

  • Ishida Y, Adachi N, Tokumaru H (1985) A topological approach to failure diagnosis of large scale system. IEEE Transactions on Systems, Man, and Cybernetics 20:129–141.

    MathSciNet  Google Scholar 

  • Johansson KE (1981) Field monitoring of NC machines-a systems approach. In: Innovation for Maintenance Technology Improvements, MFPG 3rd Meeting, National Bureau of Standards, New York

    Google Scholar 

  • Kegg RL (1984) On line process diagnostics. CIRP Annals 33:469–473

    Google Scholar 

  • Keller AZ, Perera VD (1981) Reliability analysis of CNC machine tools. In: Proc. 3rd National Conference on Reliability, Macclesfield

    Google Scholar 

  • Kilmartin BR, Hannan RG (1981) An in-company study of NC machine utilization and its improvement by a systems approach. International Journal of Production Research 19:289–300

    Google Scholar 

  • Kokowa M, Miyazaki S, Shingai S (1983) Fault location using digraph and inverse direction search with application. Automatica 19:729–735

    Article  Google Scholar 

  • Kokowa M, Shingai S (1982) Failure propagating simulation and non-failure path search in network systems. Automatica 18:335–341

    Article  Google Scholar 

  • Kwon HD, Burdekin M (1998) Adjustment of CNC machine tool controller setting values by an experimental method. International Journal of Machine Tools & Manufacture 38:1045–1065

    Article  Google Scholar 

  • Lee J (1995) Machine performance monitoring and proactive maintenance in computer integrated manufacturing: review and perspective. International Journal of Computer 1ntegratedManufacturing 8:370–380

    Google Scholar 

  • Lee J, Kramer BM (1993) Analysis of machine degradation using a neural network approach. Journal of Manufacturing Systems 12:379–387

    Google Scholar 

  • Luis AFG, Gilberto HR, Rocio PV, Rene DJRT, Wbaldo LT (2006) Sensorless tool failure monitoring system for drilling machines. International Journal of Machine Tools and Manufacture 46:381–386

    Article  Google Scholar 

  • Majstorovic V, Milacic V (1990) Expert system for diagnosis and maintenance. Maintenance 5:19–22

    Google Scholar 

  • Marczewsky R (1988) An expert system for machine tool diagnosis. In: Proc. Of 2nd Engineering Society of Detroit Conference on Expert Systems, Detroit

    Google Scholar 

  • Martin KF (1994) A review by discussion of condition monitoring and fault diagnosis in machine tools. International Journal of Machine Tools & Manufacture 34:527–551

    Article  Google Scholar 

  • Martin KF, Hoh SM, Thorpe P (1990) Fault diagnosis of hard faults. In: International Conference on Manufacturing Systems and Environment, Japan Society of Mechanical Engineers, Tokyo

    Google Scholar 

  • Marzi MH, Martin KF (1990) Artificial neural network condition monitoring and fault diagnosis. In: Proc. ASME International Conference on Neural Networks, San Diego, CA

    Google Scholar 

  • NCSR (1988) CNC machining center. AMTA Reliability Publications, Risley

    Google Scholar 

  • Poltavets OF (1994) Diagnostics in the machine tool: purpose, state, and prospects. Russian Engineering Research 14:6–8

    Google Scholar 

  • Puetz RD, Eichhorn S (1987) Expert systems for fault diagnosis of CNC machines. In: Sviram D, Adey RD (eds) Knowledge-based expert systems for engineering. Computational Mechanics Publications, London

    Google Scholar 

  • Rao SB (1997) Metal cutting machine tool design. Journal of Manufacturing Science and Engineering 119:713–716

    Google Scholar 

  • Rao RV, Gandhi OP (2002) Failure cause analysis of machine tools using digraph and matrix methods. International Journal of Machine Tools & Manufacture 42:521–528

    Article  Google Scholar 

  • Sethi VK, Agrawal VP (1993) Hierarchical classification of kinematic chains: a multigraph approach. Mechanism and Machine Theory 28:601–614

    Article  Google Scholar 

  • Stewart E (1977) A survey of machine tool breakdowns. MTIRA Research Report No.63, In: Proc. of National Conference on Reliability, Macclesfield

    Google Scholar 

  • Williams JH (1990) Transfer function techniques and fault location. Research Studies Press, Reading, MA

    Google Scholar 

  • Ye N, Zhao B (1996) Hybrid intelligent system for fault diagnosis of advanced manufacturing systems. International Journal of Production Research 34:555–576

    MATH  Google Scholar 

  • Yoshikawa H (1982) Multi-purpose modelling of mechanical systems-morphological model as a mesomode. In: Bjorke OP, Franksen OI (eds) System structures in engineering economic design and production. Tapir Publishers, Trondheim

    Google Scholar 

  • Zeng L, Wang HP (1991) Machine fault classification: a fuzzy set approach. International Journal of Advanced Manufacturing Technology 6:83–94

    Article  Google Scholar 

Download references

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(2007). Failure Cause Analysis of Machine Tools. In: Decision Making in the Manufacturing Environment. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84628-819-7_12

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  • DOI: https://doi.org/10.1007/978-1-84628-819-7_12

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-818-0

  • Online ISBN: 978-1-84628-819-7

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