Earticle

Fault diagnosis for quality control during the multivariate production process is widely used to detect abnormal fluctuations, find out failure reasons and take measures to maintain the stability of the production system accordingly. The neural network methodology has become a main method in the field of intelligent diagnosis recently. However, it has certain deficiencies such as longer training time, slower convergence rate and easier falling into a local optimal solution easily. As a result, the effect of fault diagnose is influenced. Thus, this article proposes the idea of using the Fruit Fly Optimization Algorithm in the multivariable process fault diagnosis model, at the same time, to analyze the out of control sample data in the automobile crankshaft production. Compared with the neural network model in dealing with the fault diagnosis in multivariate process, Fruit Fly Optimization Algorithm’s effectiveness s verified.

In this paper, a new matching recommendation algorithm is proposed to help enterprises find one or more proper celebrities from social media for their product endorsement. The fans group of a celebrity, his impaction value in the social media, as well as the matching degree between the celebrity and the product are selected to measure a celebrity. The attribute similarities between target customers of the product and fans of the celebrity are calculated via the Pearson similarity formula. Then, considering the impaction value of the celebrity and the matching degree of the celebrity and the product which can be accessed on the website or usually available from the enterprise, an evaluation index is proposed. We use some data from Sina Micro-blog, which is the most popular social media platform in China, to show the effectiveness of our proposed matching recommendation algorithm. Moreover, the analysis shows that a particular celebrity may suitable to endorse different product on-line and off-line.

This paper proposes new fuzzy type sliding mode controller for multi-DOF joints to reduce/eliminate motor vibration. The fuzzy (PI+D)2 single-input single-output (SISO) fuzzy system is applied to modify each element of the control in a sliding mode controller. The proposed method is designed based on the Lyapunov method. Mathematical proof for the stability and the convergence of the system is presented. Various operation situations such as the set point control and the trajectory control are simulated. The simulation results demonstrate that the chattering and the steady state errors, which usually occur in the classical sliding mode control, are eliminated and satisfactory trajectory tracking is achieved.

Solar power is the transformation of daylight into power, either straightforwardly utilizing photovoltaic (PV), or in a roundabout way controlling concentrated sun powered force (CSP). Concentrated sun powered force frameworks use lenses or mirrors and following frameworks to center a huge region of daylight into a little pillar. A feasible approach to maximize the efficiency of solar array systems is sun tracking. This paper demonstrates a novel method which will automatically track the sun’s position and accordingly change the direction of the solar panel to get the maximum output from the solar cell with the help with IC LM339N, Sensor (LDR) and DC geared motor. This paper offers a dependable and reasonable strategy for adjusting a aligning a solar module with the sun keeping in mind the end goal to maximize its energy output.

This paper explain how the station keeping maneuvers are habitually planned in ground based station keeping control systems for GEO satellites equipped with high thrust propulsion systems consisting of chemical thrusters able to achieve radial, tangent and normal thrust acceleration components in unrelated ways. In fact, by using North-South high thrust maneuvers and Est-West high thrust maneuver. A numerical simulation is performed to illustrate this approach.

A 3D human model, car, building, trees are developed using blender, make Human, lightwave and 3Dstudio. Aim of the paper is to animate don’t drink drive case using 3D modeling. A human model is drunk with the surrounding of buildings and trees, sits in car and met with accident after striking with the trees. This paper gives message not to drink while driving. An animation is developed open source python based blender and human model is developed using make Human and is utilize by blender software and objects are used by blender as it supports all types of format like lwo,bvh,3ds,mhx,c3d,c4d and the animation consist of 168 frames with timeline of 10 seconds.

In the era of industrialization, technological revolution reduced the intervention of humans to assist machinery. The privatization slogan has increased the competition among industries which leads to origin of new products/designs for automation. The paper presents, one such, design and implementation of 64-bit RISC processor on SOC for industry automation, mainly useful for packing of bottles in bottling plant. The design includes processor with BIST features; it is a mechanism that allows a machine to test itself. Here RISC processor is used to decrease the number of instructions and they execute the instruction at faster rate. Later the design is integrated on System on Chip (SoC) to obtain a single chip which reduces the overall power consumption. The design and synthesis is done by verilog and verified in cadence IUS and RTL compiler. The physical design is done by SoC encounter 11.10 version.

This paper is focused on a comparison between classic Feedback Linearization Control and a proposed Active Disturbance Rejection Control method. The proposed technique does not require a precise mathematical description of the system, since it is based on the online estimation and rejection of the unmodeled elements of the dynamics. Robustness of the closed-loop control system (against external perturbation and parameters uncertainty) is discussed here. A model of a SCARA robot manipulator is used in the conducted case study as an exemplary plant. Conclusions are supported with results obtained with numerical simulations.