Fuzzy-Based Intelligent Algorithm for Diagnosis of Drive Faults in Induction Motor Drive System

Mayadevi, N.; Mini, V. P.; Kumar, Rakesh; Prins, Shruti

doi:10.1007/s13369-019-03935-2

Cited by 19 publications

(11 citation statements)

References 28 publications

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“…The annealing simulation algorithm starts from a given initial temperature and decreases the temperature parameter as it repeats. Combined with the probabilistic jumping ability of the algorithm, the solution of the objective function is randomly positioned in the feasible solution space of the problem, and the Metropolis criterion is used to determine whether a new solution will be accepted and repeat the process to gradually find the overall optimal solution to the problem [ 20 , 21 ].…”

Section: Smart Way To Push Informationmentioning

confidence: 99%

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Cheng

2022

Computational Intelligence and Neuroscience

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“Information alienation” is a concept formed by combining the idea of “alienation” in philosophy with the characteristics of information itself. Information is a universal property of matter and an objectively existing form of material movement. The purpose of this paper is to study and analyze the alienation technology control of push information based on intelligent algorithms and describe the information alienation. This paper puts forward the problem of pushing information, which is based on intelligent algorithm, then elaborates around the concept of intelligent algorithm and related algorithms, and designs and analyzes the control of media information alienation. The experimental results show that, in the questionnaire survey, 72.34% of the people who very frequently swipe unfriendly information account for a very large proportion. People will always swipe it in various software applications, which is unavoidable. How to control the problem of information alienation needs to be controlled from the user level, the design media level, and the government level.

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Section: Smart Way To Push Informationmentioning

confidence: 99%

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Cheng

2022

Computational Intelligence and Neuroscience

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“…Another example is the products that are in direct contact with food, such as nanoknives, plastic wrap, and refrigerators that are common in the kitchen. It is required that it should not have a certain chemical effect with food, which will lead to food spoilage or residual or harmful substances on the surface of food [20].…”

Section: User Needs Of Nanomaterials Productsmentioning

confidence: 99%

Innovative Artistic Design of Nanomaterial Products Based on Intelligent Algorithm

Yao

Ruan

2022

Journal of Nanomaterials

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At present, algorithm technology has achieved very rapid development, and it is more and more widely penetrated and applied in people’s production and life. Among them, product design based on intelligent algorithm has also been widely used. This technology plays an important role in promoting product innovation and design and contributes to the improvement and optimization of technology, showing very significant application benefits in the product design and development process of major enterprises. The application of intelligent algorithms in product design can not only make products more in line with customers’ usage habits, but also products blessed with intelligent algorithms often have more commercial value. Therefore, in order to enhance the added value of commodities, innovative design of products has become a must. Nanomaterials must have unique properties that are unmatched by general building materials, such as high surface activity, strong oxidation, and superparamagnetic. This article mainly studies design strategies from two aspects, namely the innovation of material properties and application methods, and introduces the properties of nanomaterials, their application status, and the existing problems. And it starts from the application of intelligent technology in nanomaterial products, innovative design, and development prospects, combined with actual cases, to find a feasible way for the development of innovative design and research of nanomaterial products. On this basis, it is proposed that the idea of expanding the design should reunderstand and reposition the product design of nanomaterials and make the design more acceptable to more consumers. New design ideas and methods such as adjusting material properties through intelligent algorithms provide certain assistance and support for the application of intelligent algorithms in product design innovation practice. Some completed application practices are also presented to illustrate the rationality of the application of intelligent algorithms in nanomaterial products. The results show that the crowd search algorithm has the highest optimization degree and has good stability and optimization effect, and its standard deviation is the lowest close to 0.

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“…The role of condition monitoring in fault diagnosis has gained importance due to its influence on industrial operation continuity (Mayadevi et al 2020). Fault diagnosis includes signal acquisition, signal processing and decision support (Wang et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of antifriction bearing in internal combustion engine gearbox using data mining techniques

Ravikumar

Aralikatti

Kumar

et al. 2021

Int J Syst Assur Eng Manag

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Ball bearing failure are most common failure in rotating machinery, which can be catastrophic. Hence obtaining early failure warning along with precise fault detection technique is at most important. Early detection and timely intervention are the key in condition monitoring for long term endurance of machine components. The early research has used signal processing and spectral analysis extensively for fault detection however data mining with machine learning is most effective in fault diagnosis, the same is presented in this paper. The vibration signals are acquired for an output shaft antifriction bearing in a twowheeler gearbox operated at various loading conditions with healthy and fault conditions. Data mining is employed for these acquired signals. Statistical, discrete wavelet and empirical mode decomposition are employed for feature extraction process and J48 decision tree for feature selection. Classification is carried out using K*, Random forest and support vector machine algorithm. The classifiers are trained and tested using tenfold cross validation method to diagnose the bearing fault. A comparative study of feature extraction and classifiers are done to evaluate the classification accuracy. The results obtained from K* classifier with wavelet feature yielded better accuracy than rest other classifiers with classification accuracy 92.5% for bearing fault diagnosis.

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Fuzzy-Based Intelligent Algorithm for Diagnosis of Drive Faults in Induction Motor Drive System

Cited by 19 publications

References 28 publications

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Innovative Artistic Design of Nanomaterial Products Based on Intelligent Algorithm

Fault diagnosis of antifriction bearing in internal combustion engine gearbox using data mining techniques

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