Applications of Neural Nets and Evolutionary Programming to Process Monitoring

Format:

Conference/Event

Author/Creator:

VerDuin, William H., author.

Conference Name:

International Programmable Conference & Exposition (1996-05-14 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1996

Summary:

Process modeling benefits are well understood: better quality, and minimal scrap, environmental impact, and unplanned maintenance. The cost of implementing and maintaining process models, however, has limited application of model-based process monitoring and control.New technologies have changed this, with adaptive process modeling reducing the cost of developing and maintaining process models, and thus broadening applications. Applications of neural networks and evolutionary programming have demonstrated quantifiable benefits in process performance, maintenance costs, emissions, and scrap rates. Discrete part, and batch and continuous processing applications are presented to illustrate application qualification criteria and typical costs and benefits

Notes:

Vendor supplied data

Publisher Number:

961634

Access Restriction:

Restricted for use by site license