wilamowski-b-m-irwin-j-d-industrial-communication-systems-2011

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Processing Data in Complex Communication Systems 68-11 [Dam94] Damasio, A., Descartes’ Error: Emotion, Reason, and the Human Brain, New York, Penguine Books, 1994. [Dav61] David, E., Bionics or electrology? An introduction to the sensory information issue, IEEE Transactions on Information Theory, 8(2), 74–77, 1961. [Dav97] Davis, J., Biological sensor fusion inspires novel system design, In: Joint Service Combat Identification Systems Conference, San Diego, CA, 1997. [ENF07] Dietrich, D., G. Fodor, G. Zucker, and D. Bruckner (eds.), Simulating the Mind—A Technical Neuropsychoanalytical Approach, Springer, Vienna, Austria, 2009. [FS94] Fasolo, P. and D.E. Seborg, An SQC approach to monitoring and fault detection in HVAC control systems, In: Proceedings of the American Control Conference, Baltimore, MD, 1994. [GJ07] George, D. and B. Jaros, The HTM learning algorithms, Numenta, Redwood City, CA, 2007. [GLS+00] Goulding, P., B. Lennox, D. Sandoz, K. Smith, and O. Marjanovic, Fault detection in continuous processes using multivariate statistical methods, International Journal of Systems Science, 31(11), 1459–1471, 2000. [Hai06] Hainich, R.R., The End of Hardware, A Novel Approach to Augmented Reality, Booksurge, Charleston, SC, 2006. [HG06] Hawkins, J. and D. George, Hierarchical temporal memory—Concepts, theory, and terminology, Numenta, Redwood City, CA, 2006. [HJ97] Hood, C.S. and C. Ji, Proactive network fault detection, In: Proceedings of the INFOCOM, Vol. 3, Kobe, Japan, 1997, pp. 1147–1155. [HLS99] House, J., W.Y. Lee, and D.R. Shin, Classification techniques for fault detection and diagnosis of an air-handling unit, ASHRAE Transactions, 105(1), 1987–1997, 1999. [Ise84] Isermann, R., Process fault detection based on modeling and estimation methods—A survey, Automatica, 20(4), 387–404, 1984. [Jaa97] Jaakkola, T.S., Variational methods for inference and estimation in graphical models, PhD thesis, Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, 1997. [JGJS99] Jordan, M.I., Z. Ghahramani, T.S. Jaakkola, and L.K. Saul, An introduction to variational methods for graphical models, Machine Learning, 37, 183–233, 1999. [Kal60] Kalman, R.E., A new approach to linear filtering and prediction problems, Transactions of the ASME, Series D: Journal of Basis Engineering, 82, 35–45, March 1960. [KBS01] Kammermeier, P., M. Buss, and G. Schmidt, A systems theoretical model for human perception in multimodal presence systems, IEEE/ASME Transactions on Mechatronics, 6(3), 234–244, 2001. [LDS01] Loy, D., D. Dietrich, and H. Schweinzer (eds.), Open Control Networks: LonWorks/EIA 709 Technology, Kluwer Academic Publishers, Boston, MA/Dordrecht, the Netherlands/London, U.K., 2001. [Mat04] Mattern, F., Ubiquitous Computing: Schlaue Altagsgegenstnde—Die Vision von der Informatisierung des Alltags, Bulletin des SEV/VSE, 19, 9–13, 2004. [NH98] Neal, R.M. and G.E. Hinton, A view of the EM algorithm that justifies incremental, sparse, and other variants, In: Learning in Graphical Models, M.I. Jordan (ed.), Kluwer Academic Publishers, Dordrecht, the Netherlands, 1998, pp. 355–368. [Pal08] Palensky, B., From neuro-psychoanalysis to cognitive and affective automation systems, PhD thesis, Institute of Computer Technology, Vienna University of Technology, Vienna, Austria, 2008. [PL03] Pontoppidan, N. and J. Larsen, Unsupervised condition change detection in large diesel engines, In: IEEE Workshop on Neural Networks for Signal Processing, Toulouse, France, C. Molina, T. Adali, J. Larsen, M.V. Hulle, S. Douoglas, and J. Rouat (eds.), IEEE Press, Piscataway, NJ, 2003, pp. 565–574. [RJ86] Rabiner, L.R. and B.-H. Juang, An introduction to hidden Markov models, IEEE ASSAP Magazine, 3, 4–16, January 1986. [Sal00] Sallans, B., Learning factored representations for partially observable Markov decision processes, In: Advances in Neural Information Processing Systems, S.A. Solla, T.K. Leen, and K.-R. Müller (eds.), Vol. 12, The MIT Press, Cambridge, MA, 2000, pp. 1050–1056. © 2011 by Taylor and Francis Group, LLC
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The Industrial Electronics Handbook
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The Electrical Engineering Handbook
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CRC Press Taylor & Francis Group 60
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viii Contents 11 Industrial Strengt
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x Contents 46 Profisafe............
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Preface The field of industrial ele
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xvi Preambles Thilo Sauter Institut
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xviii Preambles are the same. Commu
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xx Preambles In order to cater to h
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xxii Preambles In this manner, it i
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Editorial Board Dietmar Bruckner Vi
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xxviii Editors J. David Irwin recei
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Contributors Teresa Albero-Albero E
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Contributors xxxiii Georg Gaderer I
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Contributors xxxv Peter Neumann Ins
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Contributors xxxvii Thomas Tamandl
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I Technical Principles 1 ISO/OSI Mo
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Technical Principles I-3 18 Clock S
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1-2 Industrial Communication System
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2 Media Herbert Schweinzer Vienna U
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Media 2-3 TABLE 2.1 Overview over S
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Media 2-5 Single ended Differential
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Media 2-7 2.2.6 Standards Numerous
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Media 2-9 2.3.3 transmitters and Re
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Media 2-11 uses light backscatterin
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Media 2-13 G 1 Maximum intensity Av
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Media 2-15 As an example, the three
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Media 2-17 TABLE 2.3 Overview of Di
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4 Routing in Wireless Networks Tere
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Routing in Wireless Networks 4-3 me
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Routing in Wireless Networks 4-5
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Routing in Wireless Networks 4-7 Fi
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Routing in Wireless Networks 4-9 in
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Routing in Wireless Networks 4-11 R
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Routing in Wireless Networks 4-13 1
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Routing in Wireless Networks 4-15 [
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5 Profiles and Interoperability Ger
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Profiles and Interoperability 5-3 t
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Profiles and Interoperability 5-5 S
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Profiles and Interoperability 5-7 d
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6 Industrial Wireless Sensor Networ
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Industrial Wireless Sensor Networks
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7-10 Industrial Communication Syste
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© 2011 by Taylor and Francis Group
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10-10 Industrial Communication Syst
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16 Industrial Agent Technology Alek
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Industrial Agent Technology 16-3 (A
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Industrial Agent Technology 16-5 is
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Industrial Agent Technology 16-7 fu
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Industrial Agent Technology 16-9 An
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Industrial Agent Technology 16-11 o
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Industrial Agent Technology 16-13 A
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Industrial Agent Technology 16-15 2
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18 Clock Synchronization in Distrib
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Clock Synchronization in Distribute
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20 Network-Based Control Josep M. F
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Network-Based Control 20-3 Thus, th
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Network-Based Control 20-5 message
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Network-Based Control 20-7 20.5.1 D
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21 Functional Safety Thomas Novak S
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Functional Safety 21-3 IEC 61508:20
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Functional Safety 21-5 safety engin
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Functional Safety 21-7 Hazard: tota
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Functional Safety 21-9 TABLE 21.4 S
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Functional Safety 21-11 TABLE 21.6
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TABLE 21.8 Measures Hazard Network-
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Functional Safety 21-15 implementin
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22 Security in Industrial Communica
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Security in Industrial Communicatio
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23 Secure Communication Using Chaos
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Secure Communication Using Chaos Sy
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24 Embedded Networks in Civilian Ai
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Embedded Networks in Civilian Aircr
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25 Process Automation Alois Zoitl V
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Process Automation 25-3 during star
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Process Automation 25-5 • An equi
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Process Automation 25-7 Recipe mana
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Process Automation 25-9 challenging
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Process Automation 25-11 Looking at
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26 Building and Home Automation Wol
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Building and Home Automation 26-3 2
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Building and Home Automation 26-5 p
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Building and Home Automation 26-7 T
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Building and Home Automation 26-11
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27 Industrial Multimedia Javier Sil
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Industrial Multimedia 27-3 Multimed
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Industrial Multimedia 27-5 FIGURE 2
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Industrial Multimedia 27-7 which wo
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Industrial Multimedia 27-9 is neces
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Industrial Multimedia 27-11 with pr
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Industrial Multimedia 27-13 [WIF01]
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28 Industrial Wireless Communicatio
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Industrial Wireless Communications
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29 Protocols in Power Generation Tu
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Protocols in Power Generation 29-3
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30 Communications in Medical Applic
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Communications in Medical Applicati
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III Technologies 31 Controller Area
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Technologies III-3 53 WirelessHART,
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31 Controller Area Network Joaquim
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Controller Area Network 31-3 TABLE
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Controller Area Network 31-5 • Bi
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Controller Area Network 31-7 I/O Ap
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Controller Area Network 31-9 TTCAN:
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Controller Area Network 31-11 nth E
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Controller Area Network 31-13 TABLE
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Controller Area Network 31-15 11. G
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32 Profibus Max Felser Bern Univers
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Profibus 32-3 TABLE 32.3 Transmissi
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Profibus 32-5 32.3 Fieldbus Data Li
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Profibus 32-7 in Figure 32.3. He si
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Profibus 32-9 32.5 Cyclic Data Exch
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Profibus 32-11 Buscycle T DP T DX G
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Profibus 32-13 [IEC84-3] IEC 61784-
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33 INTERBUS Juergen Jasperneite Ost
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INTERBUS 33-3 One total frame Loopb
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INTERBUS 33-5 interface shutdown. T
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INTERBUS 33-7 include the entire da
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INTERBUS 33-9 4.5 4 3.5 PL = 1 byte
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34 WorldFip Francisco Vasques Unive
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WorldFip 34-3 Data producer Data co
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WorldFip 34-5 TABLE 34.1 Variable N
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WorldFip 34-7 Write service Read se
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WorldFip 34-9 t r (20 µs) ID_DAT(2
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WorldFip 34-11 TABLE 34.3 BAT (Usin
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WorldFip 34-13 Not enough time to p
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WorldFip 34-15 47: else 48: load_fu
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WorldFip 34-17 1 1 2 2 3 3 4 4 5 5
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35 Foundation Fieldbus Carlos Eduar
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Foundation Fieldbus 35-3 Four devic
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Foundation Fieldbus 35-5 Many desig
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Foundation Fieldbus 35-7 35.9 Insta
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Foundation Fieldbus 35-9 Field Inst
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36 Modbus Mário de Sousa Universit
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Modbus 36-3 The devices acting as M
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Modbus 36-5 Request APDU Response A
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Modbus 36-7 For more details regard
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Modbus 36-9 In Modbus serial, frame
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Modbus 36-11 sequence “CR” “L
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Modbus 36-13 36.7 Example A typical
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Modbus 36-15 Modbus TCP frame MBAP
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37 Industrial Ethernet Gaëlle Mars
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Industrial Ethernet 37-3 37.2.2 Wha
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Industrial Ethernet 37-5 Advantage:
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Industrial Ethernet 37-7 TABLE 37.1
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Industrial Ethernet 37-9 Tcnet [21]
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Industrial Ethernet 37-11 12. IEEE
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40 PROFINET Max Felser Bern Univers
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PROFINET 40-3 A plant unit contains
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PROFINET 40-5 switches or a line to
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PROFINET 40-7 For data exchange wit
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PROFINET 40-9 31.25 μs ≤ Tsend_c
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PROFINET 40-11 40.4 Engineering and
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PROFINET 40-13 40.4.5 redundancy Th
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PROFINET 40-15 Acronyms AR CR DCP D
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45 LIN-Bus Andreas Grzemba Universi
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LIN-Bus 45-3 System design tool Clu
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LIN-Bus 45-5 Reverse battery protec
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LIN-Bus 45-7 times, followed by a s
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LIN-Bus 45-9 45.5.8 Frame Types The
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LIN-Bus 45-11 The successful_transf
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LIN-Bus 45-13 effective, and there
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47 SafetyLon Thomas Novak SWARCO Fu
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SafetyLon 47-3 is linked to the saf
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SafetyLon 47-5 In detail, a hardwar
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SafetyLon 47-7 Signal output Safety
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SafetyLon 47-9 base. Typically, suc
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SafetyLon 47-11 Input source file(s
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SafetyLon 47-13 Acronyms 1oo2 COTS
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48 Wireless Local Area Networks Hen
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Wireless Local Area Networks 48-3 T
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Wireless Local Area Networks 48-5 A
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Wireless Local Area Networks 48-7 4
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Wireless Local Area Networks 48-9 p
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Wireless Local Area Networks 48-11
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Wireless Local Area Networks 48-13
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50 ZigBee Stefan Mahlknecht Vienna
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ZigBee 50-3 Wireless communication
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ZigBee 50-5 Table 50.2 Physical Cha
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ZigBee 50-7 Coordinator Router End
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ZigBee 50-9 ZigBee router (FFD) Sen
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51 6LoWPAN: IP for Wireless Sensor
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6LoWPAN: IP for Wireless Sensor Net
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52 WiMAX in Industry Milos Manic Un
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WiMAX in Industry 52-3 However, the
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WiMAX in Industry 52-5 represents a
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WiMAX in Industry 52-7 Technical St
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53 WirelessHART, ISA100.11a, and OC
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WirelessHART, ISA100.11a, and OCARI
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TABLE 54.1 Characteristics of Some
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FIGURE 55.1 CPU IN-Log IN-Num OUT-l
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START FIGURE 55.3 COLD WARM STOP E_
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START RUNSTOP COLD INIT INITO WARM
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FIGURE 55.9 Different addresses of
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EtherNet FIGURE 55.11 Device: LED1
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60 User Datagram Protocol—UDP Ale
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User Datagram Protocol—UDP 60-3 8
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User Datagram Protocol—UDP 60-5 F
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User Datagram Protocol—UDP 60-7 F
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User Datagram Protocol—UDP 60-9 I
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61 Transmission Control Protocol—
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Transmission Control Protocol—TCP
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Page 858 and 859: 63-6 Industrial Communication Syste
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Page 872 and 873: 65 Semantic Web Services for Manufa
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Page 892 and 893: V Outlook 67 Trends and Challenges
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