Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning make predictions draw inferences, suggesting that opting for have less potential understanding. Are trading some other epistemic or pragmatic good when they choose a model...

The piano key weir (PKW) is a type of nonlinear control structure that can be used to increase unit discharge over linear overflow weir geometries, particularly when the weir footprint area is restricted To predict the outflow passing over a piano key weir, the discharge coefficient in the general equation of weir needs to be known. This paper presents the results of laboratory model testing of...

One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. In the present research work, it is attempted to study and provide models for predicting the m...

Most manufacturers use human-machine systems to produce high-quality products. Dealing with human-machine systems is very complicated since not only machines should be utilized in proper condition but also appropriate environment should be provided for human resources. Most manufacturers have a maintenance plan for machines but many of them do not have a proper work-rest schedule for human reso...

induction motor especially the squirrel cage type of this motor plays important role in industry. according to the application type, this motor place against various stresses that are caused failure in the motor. the most common failure is related to the stator winding. among these failures are turn-to-turn, coil-to-coil and phase to phase faults. flow the high current do to the induction resul...

Creating a machine learning solution for a real world problem often becomes an iterative process of training, evaluation and improvement where the best practices and generic solutions are few and far between. Our work presents a novel solution for an essential step of this cycle: the process of understanding the root causes of ’bugs’ (particularly consequential or confusing test errors) discove...

In recent years there has emerged the study of discrete computational models which are allowed to act transfinitely . By ‘discrete’ we mean that the machine models considered are not analogue machines, but compute by means of distinct stages or in units of time. The paradigm of such models is, of course, Turing’s original machine model. If we concentrate on this for a moment, the machine is con...