Douglas Goodman – författare

A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life. Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics. Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. This important resource: Integrates data collecting, mathematical modelling and reliability prediction in one volumeContains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processesPresents information from a panel of experts on the topicFollows prognostics based on statistical modelling, reliability modelling and usage modelling methodsWritten for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life.

A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life. 

Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics. 

Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. This important resource:

Integrates data collecting, mathematical modelling and reliability prediction in one volume Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes Presents information from a panel of experts on the topic Follows prognostics based on statistical modelling, reliability modelling and usage modelling methods

Written for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life.

A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life. 

Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics. 

Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. This important resource:

Integrates data collecting, mathematical modelling and reliability prediction in one volume Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes Presents information from a panel of experts on the topic Follows prognostics based on statistical modelling, reliability modelling and usage modelling methods

Written for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life.

An engrossing review of the development of global consumerism and its impact on sociological issues.The phrase "shop till you drop" has become as American as apple pie and the trend does not appear to be slowing. Consumer Culture begins with the history of the consumer culture, which reveals that our fascination with consuming shows not only the hidden significance of everyday items, such as sugar and fashionable clothing, but also reveals the uniqueness of our way of life.Consumer Culture also presents the views of economists and sociologists who see consumption as an expression of freedom. The book covers the social impact of consumption, examining such dubious milestones as physical attacks upon McDonald's and Starbucks, and best sellers that are critical of consumption. There is coverage of important research, such as whether consumers are making rational or impulsive choices and the effect of advertising on children.Capsule biographies of key individuals, such as Aaron Montgomery Ward, who pioneered the modern catalog, and Ray Kroc, founder of McDonald's; important figures in advertising, such as Helen Rosen Woodward; leaders in the consumer protection movement, such as Ralph Nader and Florence Kelley; and moreStatistics on U.S. and global consumption trends including clustering and segmentation in patterns of consumption; the growth of franchises and malls; shopping behavior by age, ethnicity, and geographical location; and environmental effects such as those due to garbage production