Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection

Altaf, Saud; Mehmood, M. S.; Imran, Muhammad

doi:10.21272/jes.2018.5(2).e4

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…In recent decades, artificial neural networks (ANNs) have become connections of elements called artificial neurons used to analyse complex regression problems [ 26 , 27 , 28 ]. There are many topologies of neural networks used to process the relationship between the explanatory and explained parameters [ 29 , 30 ]. Ambrogio et al [ 31 ] proposed the implementation of ANN for predicting the geometrical variability of incrementally formed draw pieces.…”

Section: Introductionmentioning

confidence: 99%

Surface Finish Analysis in Single Point Incremental Sheet Forming of Rib-Stiffened 2024-T3 and 7075-T6 Alclad Aluminium Alloy Panels

et al. 2021

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The article presents the results of the analysis of the interactions between the single point incremental forming (SPIF) process parameters and the main roughness parameters of stiffened ribs fabricated in Alclad aluminium alloy panels. EN AW-7075-T6 and EN AW-2024-T3 Alclad aluminium alloy sheets were used as the research material. Panels with longitudinal ribs were produced with different values of incremental vertical step size and tool rotational speed. Alclad is formed of high-purity aluminium surface layers metallurgically bonded to aluminium alloy core material. The quality of the surface roughness and unbroken Alclad are key problems in SPIF of Alclad sheets destined for aerospace applications. The interactions between the SPIF process parameters and the main roughness parameters of the stiffened ribs were determined. The influence of forming parameters on average roughness Sa and the 10-point peak–valley surface roughness Sz was determined using artificial neural networks. The greater the value of the incremental vertical step size, the more prominent the ridges found in the inner surface of stiffened ribs, especially in the case of both Alclad aluminium alloy sheets. The predictive models of ANNs for the Sa and the Sz were characterised by performance measures with R2 values lying between 0.657 and 0.979. A different character of change in surface roughness was found for sheets covered with and not covered with a soft layer of technically pure aluminium. In the case of Alclad sheets, increasing the value of the incremental vertical step size increases the value of the surface roughness parameters Sa and Sz. In the case of the sheets not covered by Alclad, reduction of the tool rotational speed increases the Sz parameter and decreases the Sa parameter. An obvious increase in the Sz parameter was observed with an increase in the incremental vertical step size.

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Section: Introductionmentioning

confidence: 99%

Surface Finish Analysis in Single Point Incremental Sheet Forming of Rib-Stiffened 2024-T3 and 7075-T6 Alclad Aluminium Alloy Panels

et al. 2021

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“…In addition, the analysis of the application by using sensors will allow evaluating the effectiveness and transfer experience to other robots. Also, the use of sensors significantly simplifies equipment maintenance 32 . Lists of commonly used sensors in manufacturing can be found in [33][34][35][36][37][38] .…”

Section: Literature Reviewmentioning

confidence: 99%

New classification of industrial robotic gripping systems for sustainable production

Ivanov,

Andrusyshyn,

Pavlenko

et al. 2024

Sci Rep

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Robotics is an overarching trend in modern high-tech production, contributing significantly to automation. They are used in various industries to perform multiple tasks, and their number is constantly growing. Robots interact with the production object with the help of gripping systems, which are an essential component of industrial robots and manipulators designed for reliable grasping. Therefore, the process of design and rational selection of grippers for considering production conditions receives considerable attention worldwide. The article offers a comprehensive approach to the design of gripper systems as an integral element of the “gripping system – part – environment – production equipment” system to ensure further rational selection considering specific production conditions. A scientific approach to assessing the design of gripping systems was proposed to systematize knowledge in designing gripping systems. In the paper, the principal structural scheme of the robotic gripping system was developed, and the purpose of elements and design requirements were determined. Also, the sequence of stages in the process of selecting the elements of the gripping system has been proposed. The comprehensive system “gripping system – part – environment – production equipment” has been identified considering the mutual influence of structural elements. This work may be helpful to engineers and researchers while designing new gripping systems or selecting the most suitable one from the database. It can improve the rational selection of the element base and the structure of the gripping system by systematizing the experience in the gripper system design. Moreover, due to modern trends in automation and digitalization, the presented classification and coding system for gripping systems can be used in Computer Aided Process Planning and Computer Aided Gripping Systems Design systems. It can help to realize the approach “from the part geometry to the gripping systems design”. Also, it will ensure the production planning stage’s effectiveness due to reducing the time for robotic gripping systems’ design and increasing production safety, flexibility, autonomy, and performance.

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“…In case of free oscillations {F} = {0}, critical frequencies {Ω} of the rotor are determined from the following nonlinear equation [36,37]:…”

Section:  Dynamic Analysis Of the Centrifugal Machine's Rotormentioning

confidence: 99%

Parameter Identification of Hydro-Mechanical Processes Using Artificial Intelligence Systems

2019

IJOMAM

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The article is aimed at developing the comprehensive approach of parameter identification of complicated hydro-mechanical system by means of artificial intelligence systems (AIS) using artificial neural networks (ANN) and genetic algorithms (GA). The scientific novelty of the proposed method is inconsequent implementation of numerical analysis approach (e. g., FEM and CFD simulations), mathematical modeling of hydro-mechanical processes using the quasilinear regression procedure (QLRP), and artificial intelligence systems. Algorithms and related design schemes for implementation of the abovementioned technique are proposed for solving the interdisciplinary problems of aero-elastic interaction of gas-dispersed flow with the previously deformed flexible plates in a separation channel, static calculations of fixtures for parts manufacturing, as well as dynamic analysis of centrifugal compressors' rotors. All the presented has a significant advantage in comparison with the direct solving of the abovementioned problems. This advantage is in the ability of the comprehensive sequence "FEM / CFD-ANN / GA-QLRP" to predict the solutions of highly nonlinear mathematical models describing hydro-mechanical processes with uncertainties. As a result, unknown parameters of the mathematical models describing the complicated hydro-mechanical interactions are refined under an incompleteness of the initial data.

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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection

Cited by 9 publications

References 10 publications

Surface Finish Analysis in Single Point Incremental Sheet Forming of Rib-Stiffened 2024-T3 and 7075-T6 Alclad Aluminium Alloy Panels

Surface Finish Analysis in Single Point Incremental Sheet Forming of Rib-Stiffened 2024-T3 and 7075-T6 Alclad Aluminium Alloy Panels

New classification of industrial robotic gripping systems for sustainable production

Parameter Identification of Hydro-Mechanical Processes Using Artificial Intelligence Systems

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