Maintenance of belt conveyors using an expert system based on fuzzy logic

A design approach for multiple drive belt conveyors minimizing life cycle costs

“…Findings from the literature indicate that most of the previous efforts to improve belt conveyor's energy efficiency were done at the equipment level, operation level, and technology level. Equipment efficiency activities include the development of energy-efficient belting materials [11,12], application of energy-efficient motors and variable speed drives [13], and monitoring and maintenance of conveyor components based on risks of failure and expert system tools [14,15]. At the operation efficiency level, initiatives include costeffective load shifting [16], adaptive belt speed control [17,18,19], material scheduling under the time-of-use electricity tariff [3,20,21] and critical peak pricing [22], and the optimal power flow between the electric drives [23].…”

scenario modeling exploitation decision-making process in technical network systems

“…According to them, future operation of a technical object can be based on predict-sciENcE aNd tEchNology ing, which results in the prediction, or on the anticipation, the efect of which is a vision. In particular [24,34,37]:…”

Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities

“…Another group of intelligent stochastic methods used by IT systems in order to increase the reliability of exploitation processes, including embankments and flood barriers, are heuristic methods based on fuzzy logic [14,22,24]. Less frequently used methods to obtain the same purpose are: integer linear programming [10], Support Vector Machine [17], non-linear criterion of shear stability [23], and artificial neural networks (ANN) [1,8].…”