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What is Unsupervised

Handbook of Research on Generalized and Hybrid Set Structures and Applications for Soft Computing
A method of learning in which a neural network learns to identify patterns from the input space without it being trained with vectors for which class belongingness is known apriori .
Published in Chapter:
Application of Artificial Intelligence to Gearbox Fault Diagnosis: A Review
Anand Parey (Indian Institute of Technology Indore, India) and Amandeep Singh Ahuja (Indian Institute of Technology Indore, India)
DOI: 10.4018/978-1-4666-9798-0.ch024
Abstract
Gearboxes are employed in a wide variety of applications, ranging from small domestic appliances to the rather gigantic power plants and marine propulsion systems. Gearbox failure may not only result in significant financial losses resulting from downtime of machinery but may also place human life at risk. Gearbox failure in transmission systems of warships and single engine aircraft, beside other military applications, is unacceptable. The criticality of the gearbox in rotary machines has resulted in enormous effort on the part of researchers to develop new and efficient methods of diagnosing faults in gearboxes so that timely rectification can be undertaken before catastrophic failure occurs. Artificial intelligence (AI) has been a significant milestone in automated gearbox fault diagnosis (GFD). This chapter reviews over a decade of research efforts on fault diagnosis of gearboxes with AI techniques. Some of areas of AI in GFD which still merit attention have been identified and discussed at the end of the chapter.
Full Text Chapter Download: US $37.50 Add to Cart
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Graph Based Segmentation of Digital Images
A process which does not depend upon any parameter to be specified for its functioning
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