Reliability, Life Testing and the Prediction of Service Lives

For Engineers and Scientists

Sam C. Saunders (Autor)

Buch | Hardcover

308 Seiten

2007
Springer-Verlag New York Inc.
978-0-387-32522-4 (ISBN)

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The prerequisite for reading this text is a calculus based course in Probability and Mathematical Statistics, along with the usual curricularmathematical requi- ments for every science major. For graduate students from disciplines other than mathematical sciences much advantage, viz., both insight and mathematical - turity, is gained by having had experience quantifying the assurance for safety of structures, operability of systems or health of persons. It is presumed that each student will have some familiarity with Mathematica or Maple or better yet also have available some survival analysis software such as S Plus or R, to handle the computations with the data sets. This material has been selected under the conviction that the most practical aid any investigator can have is a good theory. The course is intended for p- sons who will, during their professional life, be concerned with the 'theoretical' aspects of applied science. This implies consulting with industrial mathema- cians/statisticians' lead engineers in various fields, physcists, chemists, material scientists and other technical specialists who are collaborating to solve some d- ficult technological/scientific problem. Accordingly, there are sections devoted to the deportment of applied mathematicians during consulting. This corresponds to the 'bedside manner' of physicians and is a important aspect of professionalism.

Requisites.- Elements of Reliability.- Partitions and Selection.- Coherent Systems.- Applicable Life Distributions.- Philosophy, Science, and Sense.- Nonparametric Life Estimators.- Weibull Analysis.- Examine Data, Diagnose and Consult.- Cumulative Damage Distributions.- Analysis of Dispersion.- Damage Processes.- Service Life of Structures.- Strength and Durability.- Maintenance of Systems.- Mathematical Appendix.

Reihe/Serie	Springer Series in Statistics
Zusatzinfo	XIV, 308 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Software Entwicklung ► Qualität / Testen
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Informatik ► Weitere Themen ► Hardware
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
ISBN-10	0-387-32522-0 / 0387325220
ISBN-13	978-0-387-32522-4 / 9780387325224
Zustand	Neuware