New PDF release: Effective Maintenance Management - Risk and Reliability

By V. Narayan

Delivering a transparent clarification of the price and merits of upkeep, this certain consultant is written in a language and elegance that practising engineers and bosses can comprehend and observe simply. powerful upkeep administration examines the position of upkeep in minimizing the danger of defense or environmental incidents, hostile exposure, and lack of profitability. as well as discussing probability relief instruments, it explains their applicability to express events, thereby allowing you to pick the software that most closely fits your standards. meant to bridge the space among designers/maintainers and reliability engineers, this advisor is certain to aid companies make the most of their resources extra successfully, competently, and profitably.
entrance topic
• Abbreviations & Acronyms
• Preface
• desk of Contents
1. The construction and Distribution technique
2. approach services
three. Reliability Engineering for the upkeep Practitioner
four. Failure, its Nature and features
five. lifestyles Cycle elements of hazards in procedure vegetation
6. approach Plant Shutdowns
7. aspects of chance
eight. The Escalation of occasions
nine. upkeep
10. threat relief
eleven. details for choice Making
12. bettering procedure Effectiveness
• thesaurus

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Extra resources for Effective Maintenance Management - Risk and Reliability Strategies for Optimizing Performance

Sample text

14, we can compute the R(t) or survival probability, for a given set of values of r\ and p at any point in time ‘t’. In appendix 3-2, we have provided the results of such a calculation as an example. In spite of the apparent complexity of the equation, the method itself is fairly easy to use. We need to track the run-lengths of equipment, and to record the failures and failure modes. Recording of preventive repair or replacement of components before the end of their useful life is not too demanding.

The remaining 89% appeared to have failures not related to component age. 4. 4 Faliure Patterns Patterns A, B, and C, which are age-related, account for 11% of failures studied in research project it accounted forjust a smallpercentage of allfailures (in the Airline Industryl. Nowlan and Heap questioned thejustijication for doing all maintenace using age as the only criterion. We will discuss these issues later in the book. An explanation of these failure patterns and a method to derive them using a set of artificially created failure data is given in Appendix 3- 1.

When p values are less than 1, this indicates premature or early failures. In such cases, the hazard rate falls with age, and exhibits the so-called infant mortality symptom. Assuming that the item has survived so far, the probability of failure will be lower tomorrow than it is today. Unless the item has already failed, it is better to leave it in service, and age-based preventive maintenance will not improve its performance. We must address the underlying quality problems before considering any additional maintenance effort.

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