Zobrazeno 1 - 10
of 38
pro vyhledávání: '"V. I. Mikulovich"'
Publikováno v:
Journal of Mechanical Science and Technology. 34:4383-4391
Rolling bearing vibration data and their labels are difficult or impossible to obtain under varying working conditions. Thus, multistats identification of different fault positions and degradation degrees has relatively low accuracy. This paper propo
Publikováno v:
Multimedia Tools and Applications. 79:18317-18342
There are several issues with existing chaotic encryption schemes for images. These include singularity, unidirectionality, and the complexity of the algorithm. The result is that the encrypted image has low security and acquiring discrete chaotic se
Publikováno v:
Measurement Science and Technology. 33:125020
In practical applications, it is difficult to obtain enough fault samples to train a fault classification model for rolling bearings, and the specifications of bearings used in different mechanical equipment may be different. The diagnosis model trai
Publikováno v:
Mechanical Systems and Signal Processing. 86:40-57
To effectively assess different fault locations and different degrees of performance degradation of a rolling bearing with a unified assessment index, a novel state assessment method based on the relative compensation distance of multiple-domain feat
Publikováno v:
Measurement Science and Technology. 31:115013
Method of assessing the multi-state of a rolling bearing based on CFOA-HSVM two measures combination
Publikováno v:
2017 Prognostics and System Health Management Conference (PHM-Harbin).
To assess the multi-state of a rolling bearing more effectively and simultaneously, a unified assessment method is proposed based on chaos fruit fly optimization algorithm hyper-sphere support vector machine (CFOA-HSVM) two measures combination. Aimi
Publikováno v:
Mechanical Systems and Signal Processing. 29:404-414
Effective classification of a rolling bearing fault location and especially its degree of performance degradation provides an important basis for appropriate fault judgment and processing. Two methods are introduced to extract features of the rolling
Publikováno v:
Multimedia Tools & Applications; Jul2019, Vol. 78 Issue 13, p17719-17738, 20p
Publikováno v:
Journal of Computers. 8
Sphere structured support vector machine is a multi-classification algorithm. The algorithm separately constructs sphere for each class sample data, so the complex degree of the quadratic programming is reduced and it is easier to extend new samples.
Autor:
V. T. Shnitko, V. I. Mikulovich
Publikováno v:
Measurement Techniques. 38:434-437
A digital algorithm is proposed for measuring the amplitude and phase of the harmonic components of vibrations of rotating machinery. The algorithm is used to develop efficient systems for monitoring and diagnosing the condition of machines that have