Neural Network and D-S Evidence Theory Based Condition Monitoring and Fault Diagnosis of Drilling

Neural Network and D-S Evidence Theory Based Condition Monitoring and Fault Diagnosis of Drilling

Author(s):

Publication title:

Applied mechanics and mechanical engineering III : selected, peer reviewed papers from the 2012 3rd International Conference on Applied Mechanics and Mechanical Engineering (ICAMME 2012), Macau, 14-15 November 2012

Title of ser.:

Applied mechanics and materials

Ser. no.:

249-250

Pub. Year:

2013

Vol.:

1

Page(from):

481

Page(to):

486

Pages:

6

Pub. info.:

Stafa-Zuerich: Trans Tech Publications

ISSN:

16609336

ISBN:

9781622769049 [162276904X]

Language:

English

Call no.:

A69500/249

Type:

Conference Proceedings

Details

TDL ID:	ZA00053033
Series ID:	PA00000242
Conf. info. (Name):	International Conference on Applied Mechanics and Mechanical Engineering (ICAMME)
Conf. info. (Number):	3rd (2012)
Conf. info. (Venue):	Macau
Conf. info. (Date):	2012.11.14-2012.11.15
Note for article:	3rd International Conference on Applied Mechanics and Mechanical Engineering, Macau, 14-15 November 2012

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