Process machines are critical to the profitability of processes. Safe, efficient and reliable machines are required to maintain dependable manufacturing processes that can create saleable, on-spec product on time, and at the desired production rate. As the wards of process machinery, we wish to keep our equipment in serviceable condition.
One of the most challenging aspects of a machinery professional or operator’s job is deciding whether an operating machine should be shut down due to a perceived problem or be allowed to keep operating. If he or she wrongly recommends a repair be conducted, the remaining useful machine life is wasted, but if he or she is right, they can save the organization from severe consequences, such as product releases, fires, costly secondary machine damage, etc. This economic balancing act is at the heart of all machinery assessments.
Troubleshooting is part science and part art. Simple troubleshooting tables or decision trees are rarely effective in solving complex, real-world machine problems. For this reason, the authors want to offer a novel way to attack machinery issues that can adversely affect the reliability and efficiency of your plant processes. The methodology presented in this book is not a rigid ‘cook book’ approach but rather a flexible and dynamic process aimed at exploring process plant machines holistically, in order uncover the true nature the problem at hand.
Содержание
Preface xi
Acknowledgements xv
1 Troubleshooting for Fun and Profit 1
1.1 Why Troubleshoot? 10
1.2 Traits of a Successful Troubleshooter 13
2 An Insight in Design: Machines and Their Components Serve a Function 19
2.1 An Overview of the Design Process 30
2.2 Complex Machine Element Environments 34
3 Machinery Design Issues and Failure Modes 37
3.1 Common Failure Modes 44
3.1.1 Pluggage 45
3.1.2 Erosive Wear 45
3.1.3 Fatigue 46
3.1.4 Compressor Blade Fatigue Example 47
3.1.5 Bearing Failure 49
3.1.6 Rubbing 50
3.1.7 Unique Failure Modes 50
4 Machinery in Process Services — The Big Picture 53
5 Causes Versus Symptoms 61
5.1 Causal Chains 66
5.2 Summary 71
6 Approach Field Troubleshooting Like a Reputable News Reporter 73
7 The ‘What’ Questions 77
7.1 What is the Problem or What Are the Symptoms? 78
7.2 What Is Your Assessment of the Problem? 80
7.3 What Is at Stake? 85
7.4 What Risk Is at Hand? 86
7.5 What Additional Information Is Required? 87
8 Who Knows the Most About the Problem? 91
9 When Do the Symptoms Show Up? 97
9.1 ‘When’ Questions to Ask 100
9.2 Ways to Display Time Related Data 101
9.3 Timelines 102
9.4 Trend Plots 106
9.5 Constant Amplitude Trends 110
9.6 Step Changes 110
9.7 Gradual Versus Rapidly Changing Trends 111
9.8 Correlations 113
9.9 Speed-Related Issues 114
9.10 Erratic Amplitude 117
10 Where Do the Symptoms Show Up? 121
10.1 Locating a Machine-Train Problem 122
10.2 Troubleshooting Problems Involving Multiple Machine-Trains 128
10.3 Multiple Versus Single Machine Train Examples 130
10.4 Analyzing Noises, Pings, and Knocks 132
10.5 Seeing the Light at the End of the Tunnel 135
11 Why Is the Problem Occurring? 137
11.1 Fitting the Pieces Together 139
11.2 Reciprocating Compressor Example 142
11.3 Troubleshooting Matrices 143
11.4 Assessing Machine with Multiple Symptoms 144
12 Analyze, Test, Act, and Confirm (Repeat as Needed) 147
12.1 The Iterative Path to the Final Solution 150
13 Real-World Examples 155
13.1 Case Study #1 155
13.1.1 Closing Comments 158
13.2 Case Study #2 158
13.2.1 Closing Comments 163
13.3 Case Study #3 163
13.3.1 Closing Comments 170
13.4 Case Study #4 170
13.5 Case Study #5 174
13.5.1 Closing Comments 179
14 The ‘Hourglass’ Approach to Troubleshooting 181
14.1 Thinking and Acting Globally 186
15 Vibration Analysis 187
15.1 Vibration Analysis Primer 188
15.2 Identifying Machine Vibration Characteristics 201
16 Applying the 5Qs to Rotordynamic Investigations 207
16.1 Introduction 208
16.1.1 Rotordynamics: A Brief Overview 208
16.2 Using Rotordynamic Results for Troubleshooting 213
16.3 Closing 222
17 Managing Critical Machinery Vibration Data 227
17.1 Vibration Analysis Strategies 230
18 Closing Remarks 235
18.1 Practice the Method 235
18.2 Provide Training on Fault Trees and Cause Mapping 236
18.3 Employ Team Approach for Complex Problems 236
18.4 Get Management’s Support 237
Appendix A: The Field Troubleshooting Process—Step by Step 239
Appendix B: Troubleshooting Matrices and Tables 249
Index 351
Об авторе
Robert X. Perez has 30 years of rotating equipment experience in the petrochemical industry. He earned a BSME degree from Texas A&M University (College Station), a MSME degree from the University of Texas at Austin, and is a licensed professional engineer in the state of Texas. Mr. Perez has recently published his sixth book titled, How to Select the Right Centrifugal Pump: A Brief Survey of Centrifugal Pump Selection Best Practices.
Andrew Conkey is currently a visiting Assistant Professor at Texas A&M University Corpus Christi. He earned a BSME from Texas A&I an MSME degree from Texas A&M University in Kingsville. He was awarded a Ph D in Engineering from Texas A&M University in College Station, where his research included: A) The application of the FFPI to machinery measurements such roller bearing loading, gap measurement, and vibration measurements, and B) The development of material for freshmen engineering classes at Texas A&M. Dr. Conkey is active in ASME, ASEE, and the Vibration Institute.
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