Showing 1 - 7 of 7
Centrifugal pumps are a crucial part of many industrial plants. Early detection of faults in pumps can increase their reliability, reduce energy consumption, service and maintenance costs, and increase their life-cycle and safety, thus resulting in a significant reduction in life-time costs....
Persistent link: https://www.econbiz.de/10009352814
Data description and classification are important tasks in supervised learning. In this study, three supervised learning methods such as k-nearest neighbour (k-NN), support vector data description (SVDD) and support vector machine (SVM) are considered because they do not suffer from the problem...
Persistent link: https://www.econbiz.de/10010682873
Machining operations are used for creating surfaces by cutting away unwanted materials from workpieces. These operations are highly constrained and non-linear in nature. As a result traditional techniques are not suitable for machining parameter optimisation. Turning and milling are the two most...
Persistent link: https://www.econbiz.de/10010795464
TREPAN is decision tree algorithm that utilises artificial neural networks (ANNs) in order to improve partitioning conditions when sample data is sparse. When sample sizes are limited during the tree-induction process, TREPAN relies on an ANN oracle in order to create artificial sample...
Persistent link: https://www.econbiz.de/10009352815
Monoblock centrifugal pumps play a very critical role in a variety of applications and condition monitoring of the various mechanical components of centrifugal pump becomes essential which in turn increases the productivity and reduces the breakdowns. Vibration-based continuous monitoring and...
Persistent link: https://www.econbiz.de/10009352827
In specific sciences, such as forest policy, the need for anticipation becomes more urgent because it has to manage valuable natural resources whose protection and sustainable management is rendered essential. In this paper, a modern method has been used, known as artificial neural networks...
Persistent link: https://www.econbiz.de/10010669735
This paper presents different forecasting functional link artificial neural network (FLANN) models to investigate and compare various time series stock data. The architecture of several FLANN models like CFLANN, LFLANN, LeF-LANN, and CEFLANN are discussed. The processing technique and...
Persistent link: https://www.econbiz.de/10010669756