Maximizing Machinery Uptime by Fred K. Geitner and Heinz P. Bloch pdf.
Maximizing Machinery Uptime by Fred K. Geitner and Heinz P. Bloch.
Contents:
1 Introduction
2 The meaning of reliability
3 Uptime as probability of success
4 Estimating machinery uptime
5 Is there a universal approach to predicting machinery uptime?
6 Predicting uptime of turbomachinery
7 Failure mode and effect analysis
8 Fault tree analysis
9 Machinery risk and hazard assessment
10 Machinery system availability analysis
11 Practical field uptime assessment
12 Life-cycle cost analysis
13 Starting with good specifications
14 Owner–contractor interfaces and equipment availability
15 The operational environment
16 The maintenance environment
17 Continuous improvement
18 Review of mechanical structures and piping for machinery
The profitability of modern industrial and process plants is significantly influenced by the uptime of the machines applied in their numerous manufacturing processes and support services. These machines may move, package, mold, cast, cut, modify, mix, assemble, compress, squeeze, dry, moisten, sift, condition, or otherwise manipulate the gases, liquids, and solids that move through the plant or factory at any given time. To describe all imaginable processing steps or machine types would, in itself, be an encyclopedic undertaking and any attempt to define how the reliability of each of these machine types can be assessed is not within the scope of this text.
However, large multinational petrochemical companies have for a number of years subjected such process equipment as compressors, extruders, pumps, and prime movers, including gas and steam turbines, to a review process which has proven cost-effective and valuable. Specifically, many machines proposed to petrochemical plants during competitive bidding were closely scrutinized and compared in an attempt to assess their respective strengths and vulnerabilities and to forecast lifecycle performance; the goal was to quantify the merits and risks of their respective differences, and finally to combine subjective and objective findings in a definitive recommendation. This recommendation could take the form of an unqualified approval, or perhaps a disqualification of the proposed equipment. In many cases, the assessment led to the request that the manufacturer upgrades his machine to make it meet the purchaser’s objectives, standards, or perceptions.
This text wants to build on the philosophy of its predecessor, An Introduction to Machinery Reliability Assessment (ISBN 0-88415-172-7) by the authors. It outlines the approach that should be taken by engineers wishing to make reliability and uptime assessments for any given machine. It is by no means intended to be an all-encompassing “cookbook” but aims, instead, at highlighting the principles that over the years have worked well for the authors. In other cases, it gives typical examples of what to look for, what to investigate, and when to go back to the equipment manufacturers with questions or an outright challenge.
👇 Related books which you can also download, just click on a book you like to download it:
- Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python by Rudolph Russell pdf download
- Machine Learning For Dummies®, IBM Limited Edition by Judith Hurwitz and Daniel Kirsch pdf download
- Diesel Engine Machining Alternatives B Series Cummins Light-Duty Diesel Engine Casting Repair pdf free download
- Troubleshooting Rotating Machinery 1st edition by Robert X. Perez and Andrew P. Conkey pdf download
