Life state recognition of slewing bearing with heavy load and low speed based on point density function with fuzzy C means · Figures and Tables · Topics · 7 ...
Firstly, point density function with fuzzy C means (D-FCM) was proposed as an unsupervised method to recognize the life state of the slewing bearing. Then ...
Firstly, point density function with fuzzy C means (D-FCM) was proposed as an unsupervised method to recognize the life state of the slewing bearing. Then, an ...
May 24, 2018 · Firstly, point density function with fuzzy C means (D-FCM) was proposed as an unsupervised method to recognize the life state of the slewing ...
This paper presents an improved method to recognize the life state of slewing bearing, which guarantees the machine work efficiently and stably. Firstly, point ...
Life state recognition of slewing bearing with heavy load and low speed based on point density function with fuzzy C means. ... Simulation on a Fuzzy-PID Position ...
Life state recognition of slewing bearing with heavy load and low speed based on point density function with fuzzy C means ... The slewing bearing with heavy-load ...
Life state recognition of slewing bearing with heavy load and low speed based on point density function with fuzzy C means ... The slewing bearing with heavy-load ...
Li [6] proposed a novel fuzzy C means algorithm for the identification of slewing bearings' states. This unsupervised method is able to automatically ...
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Life state recognition of slewing bearing with heavy load and low speed based on point density function with fuzzy C means. Trans. Inst. Meas. Control 41(5) ...