LEADER 04501nam 2200589 450 001 9910822184803321 005 20230808205259.0 010 $a1-5231-1505-X 010 $a1-119-29440-1 010 $a1-119-29439-8 010 $a1-119-29444-4 035 $a(CKB)4330000000010027 035 $a(EBL)4593244 035 $a(MiAaPQ)EBC4593244 035 $a(Au-PeEL)EBL4593244 035 $a(CaPaEBR)ebr11236712 035 $a(CaONFJC)MIL952247 035 $a(OCoLC)953734917 035 $a(EXLCZ)994330000000010027 100 $a20160812h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aTroubleshooting rotating machinery $eincluding centrifugal pumps and compressors, reciprocating pumps and compressors, fans, steam turbines, electric motors, and more /$fRobert X. Perez and Andrew P. Conkey 210 1$aSalem, Massachusetts ;$aHoboken, New Jersey :$cScrivener Publishing :$cWiley,$d2016. 210 4$d©2016 215 $a1 online resource (224 p.) 300 $aIncludes index. 311 $a1-119-29413-4 327 $aHalf Title page; Title page; Copyright page; Dedication; Preface; Acknowledgements; Chapter 1: Troubleshooting for Fun and Profit; 1.1 Why Troubleshoot?; 1.2 Traits of a Successful Troubleshooter; Chapter 2: An Insight in Design: Machines and Their Components Serve a Function; 2.1 An Overview of the Design Process; 2.2 Complex Machine Element Environments; Chapter 3: Machinery Design Issues and Failure Modes; 3.1 Common Failure Modes; Chapter 4: Machinery in Process Services - The Big Picture; Chapter 5: Causes Versus Symptoms; 5.1 Causal Chains; 5.2 Summary 327 $aChapter 6: Approach Field Troubleshooting Like a Reputable News ReporterChapter 7: The "What" Questions; 7.1 What is the Problem or What Are the Symptoms?; 7.2 What is Your Assessment of the Problem?; 7.3 What is at Stake?; 7.4 What Risk is at Hand?; 7.5 What Additional Information is Required?; Chapter 8: Who Knows the Most About the Problem?; Chapter 9: When Do the Symptoms Show Up?; 9.1 "When" Questions to Ask; 9.2 Ways to Display Time Related Data; 9.3 Timelines; 9.4 Trend Plots; 9.5 Constant Amplitude Trends; 9.6 Step Changes; 9.7 Gradual Versus Rapidly Changing Trends; 9.8 Correlations 327 $a9.9 Speed-Related Issues9.10 Erratic Amplitude; Chapter 10: Where Do the Symptoms Show Up?; 10.1 Locating a Machine-Train Problem; 10.2 Troubleshooting Problems Involving Multiple Machine-Trains; 10.3 Multiple Versus Single Machine Train Examples; 10.4 Analyzing Noises, Pings, and Knocks; 10.5 Seeing the Light at the End of the Tunnel; Chapter 11: Why is the Problem Occurring?; 11.1 Fitting the Pieces Together; 11.2 Reciprocating Compressor Example; 11.3 Troubleshooting Matrices; 11.4 Assessing Machine with Multiple Symptoms; Chapter 12: Analyze, Test, Act, and Confirm (Repeat as Needed) 327 $a12.1 The Iterative Path to the Final SolutionChapter 13: Real-World Examples; 13.1 Case Study #1; 13.2 Case Study #2; 13.3 Case Study #3; 13.4 Case Study #4; 13.5 Case Study #5; Chapter 14: The "Hourglass" Approach to Troubleshooting; 14.1 Thinking and Acting Globally; Chapter 15: Vibration Analysis; 15.1 Vibration Analysis Primer; 15.2 Identifying Machine Vibration Characteristics; Chapter 16: Applying the 5Qs to Rotordynamic Investigations; 16.1 Introduction; 16.2 Using Rotordynamic Results for Troubleshooting; 16.3 Closing; Chapter 17: Managing Critical Machinery Vibration Data 327 $a17.1 Vibration Analysis StrategiesChapter 18: Closing Remarks; 18.1 Practice the Method; 18.2 Provide Training on Fault Trees and Cause Mapping; 18.3 Employ Team Approach for Complex Problems; 18.4 Get Management's Support; Appendix A: The Field Troubleshooting Process-Step by Step; Appendix B: Troubleshooting Matrices and Tables; Index 606 $aMachinery$xMaintenance and repair 606 $aRotors$xMaintenance and repair 606 $aTurbomachines$xMaintenance and repair 615 0$aMachinery$xMaintenance and repair. 615 0$aRotors$xMaintenance and repair. 615 0$aTurbomachines$xMaintenance and repair. 676 $a621.8/16 700 $aPerez$b Robert X.$0896629 702 $aConkey$b Andrew P. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822184803321 996 $aTroubleshooting rotating machinery$94057023 997 $aUNINA LEADER 03900nam 22006495 450 001 9910548176003321 005 20251225213437.0 010 $a3-030-97240-2 024 7 $a10.1007/978-3-030-97240-0 035 $a(MiAaPQ)EBC6897025 035 $a(Au-PeEL)EBL6897025 035 $a(CKB)21325693100041 035 $a(PPN)260825549 035 $a(BIP)83380788 035 $a(BIP)83059736 035 $a(DE-He213)978-3-030-97240-0 035 $a(EXLCZ)9921325693100041 100 $a20220224d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNetwork Science $e7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8?11, 2022, Proceedings /$fedited by Pedro Ribeiro, Fernando Silva, José Fernando Mendes, Rosário Laureano 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (197 pages) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v13197 311 08$aPrint version: Ribeiro, Pedro Network Science Cham : Springer International Publishing AG,c2022 9783030972394 320 $aIncludes bibliographical references and index. 327 $aUsing localized attacks with probabilistic failures to model seismic events over physical-logical interdependent network -- A Historical Perspective On International Treaties Via Hypernetwork Science -- On the Number of Edges of the Frechet Mean and Median Graphs -- Core but not Peripheral Online Social Ties is a Protective Factor against Depression: Evidence from a Nationally Representative Sample of Young Adults -- Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification -- Modularity-based Backbone Extraction in Weighted Complex Networks -- Vessel destination prediction using a graph-based machine learning model -- Hunting for Dual-target Set on a Class of Hierarchical Networks -- Generalized Linear Models Network Autoregression -- Constructing Provably Robust Scale-free Networks -- Functional characterization of transcriptional regulatory networks of yeast species -- Competitive Information Spreading on Modular Networks -- HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs. 330 $aThis book constitutes the refereed proceedings of the 7th International Conference and School of Network Science, NetSci-X 2022, held in Porto, Portugal, in February 2021. The 13 full papers were carefully reviewed and selected from 19 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v13197 606 $aComputer engineering 606 $aComputer networks 606 $aApplication software 606 $aSocial sciences$xData processing 606 $aComputer Engineering and Networks 606 $aComputer and Information Systems Applications 606 $aComputer Application in Social and Behavioral Sciences 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aSocial sciences$xData processing. 615 14$aComputer Engineering and Networks. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a004.6 676 $a004.6 702 $aRibeiro$b Pedro 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910548176003321 996 $aNetwork science$91573569 997 $aUNINA