Books on the topic 'Fault location (Engineering) Computer programs'

Pakanen, Jouko. Demonstrating a fault diagnostic method in an automated, computer-controlled HVAC process. Espoo [Finland]: Technical Research Centre of Finland, 2001.

Nökel, K. Temporally distributed symptoms in technical diagnosis. Berlin: Springer-Verlag, 1991.

Chen, J. Robust model-based fault diagnosis for dynamic systems. Boston: Kluwer Academic Publishers, 1999.

Knight, J. C. Second generation experiments in fault tolerant software. Charlottesville, Va: Dept. of Computer Science, School of Engineering and Applied Science, University of Virginia, 1987.

Yang, Bo-Suk. Introduction to intelligent machine fault diagnosis and prognosis. New York: Nova Science Publishers, 2009.

Butler, Ricky W. The Fault-Tree Compiler (FTC): Program and mathematics. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

Butler, Ricky W. The Fault-Tree Compiler (FTC): Program and mathematics. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

Artificial neural networks for the modelling and fault diagnosis of technical processes. Berlin: Springer, 2008.

Elks, Carl R. Development of a fault injection-based dependability assessment methodology for digital I & C systems. Washington, D.C: United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2012.

Achmad, Widodo, ed. Introduction of intelligent machine fault diagnosis and prognosis. New York: Nova Science Publishers, 2009.

Neural network-based state estimation of nonlinear systems: Application to fault detection and isolation. New York: Springer, 2010.

1975-, Chiang Leo H., and Braatz Richard D. 1966-, eds. Data-driven methods for fault detection and diagnosis in chemical processes. London: Springer, 2000.

Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection. Singapore: World Scientific, 1997.

service), SpringerLink (Online, ed. Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance: 16th International GI/ITG Conference, MMB & DFT 2012, Kaiserslautern, Germany, March 19-21, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Natke, H. G. Model-aided diagnosis of mechanical systems: Fundamentals, detection, localization, and assessment. Berlin: Springer Verlag, 1997.

Brat, Guillaume. NASA Formal Methods: 5th International Symposium, NFM 2013, Moffett Field, CA, USA, May 14-16, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Kouresh, Danai, Lewis Research Center, and U.S. Army Research Laboratory. Vehicle Propulsion Directorate., eds. Diagnostic analyzer for gearboxes (DAG): User's guide. [Washington, D.C: National Aeronautics and Space Administration, 1997.

W, Butler Ricky, and Langley Research Center, eds. The Fault-Tree Compiler. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

W, Butler Ricky, and Langley Research Center, eds. The Fault-Tree Compiler. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

Fault Detection and Diagnosis in Industrial Systems. Springer, 2001.

Prinetto, Paolo, and Alfredo Benso. Fault Injection Techniques and Tools for Embedded Systems Reliability Evaluation. Springer London, Limited, 2006.

Fault Injection Techniques and Tools for Embedded Systems Reliability Evaluation. Springer, 2010.

Fault Injection Techniques and Tools for Embedded Systems Reliability Evaluation (Frontiers in Electronic Testing). Springer, 2003.

Advanced Neural Networkbased Computational Schemes For Robust Fault Diagnosis. Springer International Publishing AG, 2013.

Mrugalski, Marcin. Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis. Springer, 2014.

Mrugalski, Marcin. Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis. Springer London, Limited, 2013.

Chung, Kwangsue. Knowledge-based approach to fault diagnosis and control in distributed process environments. 1991.

United States. National Aeronautics and Space Administration, ed. Second generation experiments in fault tolerant software. Charlottesville, Va: Dept. of Computer Science, School of Engineering and Applied Science, University of Virginia, 1987.

Patan, Krzysztof. Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes. Springer, 2008.

Tangkoonsombati, Choowong. Assembly tolerance analysis in geometric dimensioning and tolerancing. 1994.

Fault Detection And Flight Data Measurement Demonstrated On Unmanned Air Vehicles Using Neural Networks. Springer, 2011.

Russell, Evan L., Leo H. Chiang, and Richard D. Braatz. Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes (Advances in Industrial Control). Springer, 2000.

IEA Annex 25 real time simulation of HVAC systems for building optimisation, fault detection and diagnosis: Building optimisation and faul diagnosis system concept. Espoo, Finland: Technical Research Centre of Finland, Laboratory of Heating and Ventilation, 1993.

1939-, Tzafestas S. G., ed. Knowledge-based system diagnosis, supervision, and control. New York: Plenum Press, 1989.

Self-Healing Systems and Wireless Networks Management. Taylor & Francis Group, 2013.

O, Starr Stanley, and United States. National Aeronautics and Space Administration., eds. Commercialization of Kennedy Space Center instrumentation developed to improve safety, reliability, and cost effectiveness of space shuttle processing, launch, and landing. [Washington, DC: National Aeronautics and Space Administration, 1997.

Model-Aided Diagnosis of Mechanical Systems: Fundamentals, Detection, Localization, Assessment. Springer, 1996.

Brat, Guillaume, Neha Rungta, and Arnaud Venet. NASA Formal Methods: 5th International Symposium, NFM 2013, Moffett Field, CA, USA, May 14-16, 2013. Proceedings. Springer, 2013.