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Process monitoring and fault diagnosis are of great importance for operation safety and efficiency of complex industrial plants. The present article proposes a novel methodology to address the sensor location problem for fault detection. Firstly, all the process situations are identified based on a fuzzy learning algorithm using measurements generated from the whole available set of sensors. Then,...
There are many methods trying to do the relational database estimation with a highly estimated accuracy rate by constructing a great diversity of methods. This paper presents a modular method for estimating null values in relational database systems, and which is based on a simple fuzzy learning algorithm. However, there exists a conflict between the degree of the interpretability and the accuracy...
With the advances in soft computing techniques and agent technologies, the concept of home ambient intelligence is becoming more and more realistic. Living in a building that adapts itself to the users and assists them in reducing their energy consumption is now within reach. The main technical barrier comes from hardware: servers and industrial control networks do not fit in a house. With the availability...
It is investigated in this paper that how learning algorithm of fuzzy system can be arranged by gradient descent method and how the learning speed can be increased in this method. First, the optimal range of learning speed coefficient not to be trapped in local minima and not to provide too slow learning speed is investigated. With the optimal range of learning speed coefficient, the optimal value...
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