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NINGBO FEITUO ELECTRICAL APPLIANCE CO LTD

Overview
  • Total Patents
    11
  • GoodIP Patent Rank
    158,731
  • Filing trend
    ⇧ 200.0%
About

NINGBO FEITUO ELECTRICAL APPLIANCE CO LTD has a total of 11 patent applications. It increased the IP activity by 200.0%. Its first patent ever was published in 2016. It filed its patents most often in China. Its main competitors in its focus markets electrical machinery and energy, audio-visual technology and measurement are JIANGSU XGL OPTOELECTRONICS CO LTD, ZHEJIANG KLITE LIGHTING HOLDINGS CO LTD and LEE HYO WON.

Patent filings in countries

World map showing NINGBO FEITUO ELECTRICAL APPLIANCE CO LTDs patent filings in countries
# Country Total Patents
#1 China 11

Patent filings per year

Chart showing NINGBO FEITUO ELECTRICAL APPLIANCE CO LTDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Du Ming 10
#2 Ge Quanbo 9
#3 Shao Yuejun 7
#4 Yang Qinmin 3
#5 Guan Binglei 2
#6 He Meiguang 2
#7 Tang Shuaishuai 2
#8 Cao Weiwei 1
#9 Tang Xianfeng 1
#10 Gao Xian 1

Latest patents

Publication Filing date Title
CN111624499A Adaptive filtering method based on parameter estimation criterion for SOC estimation
CN111444474A Multiplicative noise correlation self-adaptive CKF-based target tracking method
CN111371432A Noise-related nonlinear observability degree analysis method
CN111028745A Multifunctional intelligent fire-fighting emergency system
CN111089245A Multipurpose energy-saving fire-fighting emergency lamp
CN109828211A A kind of emergency light battery SOC estimation method based on neural network adaptive-filtering
CN109782181A A kind of emergency light battery SOC estimation method based on combined filter
CN109185743A A kind of intelligent fire emergency-lighting system
CN107169881A Introduce the Measuring Set in Power System State method of estimation of PMU branch current phasors
CN106523973A Table lamp capable of refracting light rays through multiple slopes
CN105699903A Emergency lamp cell SOC estimation method based on variational Bayesian CKF