Gas path fault diagnosis of a gas turbine is complex task involving field data analysis and knowledge-based reasoning. In this paper, data-knowledge hybrid driven method for proposed by integrating physical model-based (GPA) with ontology model. Firstly, GPA used to extract the features from data. Secondly, virtual distance mapping algorithm developed map result specific feature criteria indivi...

One of the major strengths of a Geographic Information System (GIS) in geosciences is the ability to integrate and combine multiple layers into mineral potential maps showing areas which are favorable for mineral exploration. These capabilities make GIS an extremely useful tool for mineral exploration. Several spatial modeling techniques can be employed to produce potential maps. However, these...

Workspace analysis is one of the most important issues in the robotic parallel manipulator design. ‎However, ‎the unidirectional constraint imposed by cables causes this analysis more challenging in the cabledriven redundant parallel manipulators. Controllable workspace is one of the general workspace in the cabledriven redundant parallel manipulators due to the dependency on geometry parameter...

Nowadays, most fuzzy clustering algorithms are sensitive to the initialization results of and have a weak ability handle high-dimensional data. To solve these problems, we developed viewpoint-driven subspace c-means (VSFCM) algorithm. Firstly, propose new cut-off distance. Based on this, establish distance-induced (CDCI) method use it as strategy for cluster center viewpoint selection. Secondly...

This paper develops a novel data-driven fuzzy modeling strategy and predictive controller for boiler-turbine unit using fuzzy clustering and subspace identification (SID) methods. To deal with the nonlinear behavior of boiler-turbine unit, fuzzy clustering is used to provide an appropriate division of the operation region and develop the structure of the fuzzy model. Then by combining the input...

the paper under review delineates the scenario, perspective and the future trends of science –driven entrepreneurship in the islamic world. it digs out the factors causing the sluggishness and suggests the plan of action for the renaissance of indigenous science –driven entrepreneurship with grafting of the modern scientific high tech marketing techniques on it. the paper highlights that entrep...

Automatically extracting actionable knowledge from on line social media has attracted a growing interest from both academia and the industry. However, little clarity exists in relation to what actionable knowledge is, whether it can be measured and where it is more likely to be found. This paper makes an attempt at answering the above questions by gaining a better understanding of actionable kn...