The need for wide-band clock and data recovery （CDR） circuits is discussed. A 2 Gbps to 12 Gbps continuous-rate CDR circuit employing a multi-mode voltage-control oscillator （VCO）, a frequency detector, and a phas...The need for wide-band clock and data recovery （CDR） circuits is discussed. A 2 Gbps to 12 Gbps continuous-rate CDR circuit employing a multi-mode voltage-control oscillator （VCO）, a frequency detector, and a phase detector （FD＆PD） is described. A new automatic frequency band selection （FBS） without external reference clock is proposed to select the appropriate mode and also solve the instability problem when the circuit is powering on. The multi-mode VCO and FD/PD circuits which can operate at full-rate and half-rate modes facilitate CDR with six operation modes. The proposed CDR structure has been modeled with MATLAB and the simulated results validate its feasibility.展开更多
The underlying study investigates single valued neutrosophic entropy based adaptive sensitive frequency band selection for variational mode decomposition(VMD)for the purpose of identifying defective components in an a...The underlying study investigates single valued neutrosophic entropy based adaptive sensitive frequency band selection for variational mode decomposition(VMD)for the purpose of identifying defective components in an axial pump.The proposed methodology is applied in the following steps.First,VMD is applied for decomposing vibration signals into various frequency bands,called as modes.After computing energy of each VMD,the lower(minimum)and upper(maximum)bounds from these energy readings are extracted for defect conditions,such as outer race,inner race,worn piston,faulty cylinder and valve plate,and blocked hole of the piston.Thereafter,energy interval ranges are obtained and further converted into the form of single valued neutrosophic sets(SVNSs).Then,the proposed neutrosophic entropy measure is deployed for quantifying the non-linear connection between each bearing defect conditions and various frequency bands.The mode having maximum neutrosophic entropy value is designated to the“most sensitive”frequency band.Thereafter,envelope demodulation is applied to the most sensitive selected frequency band for finding defective components.The proposed neutrosophic entropy and VMD based methodology is effective in providing a better insight for selecting suitable frequency band for carrying out envelope demodulation in comparison to existing methods.展开更多
基金supported by the Hubei Natural Science Foundation of China underGrant No. 2010CDB02706the Fundamental Research Funds for the Central Universities under Grant No. C2009Q060
文摘The need for wide-band clock and data recovery （CDR） circuits is discussed. A 2 Gbps to 12 Gbps continuous-rate CDR circuit employing a multi-mode voltage-control oscillator （VCO）, a frequency detector, and a phase detector （FD＆PD） is described. A new automatic frequency band selection （FBS） without external reference clock is proposed to select the appropriate mode and also solve the instability problem when the circuit is powering on. The multi-mode VCO and FD/PD circuits which can operate at full-rate and half-rate modes facilitate CDR with six operation modes. The proposed CDR structure has been modeled with MATLAB and the simulated results validate its feasibility.
基金co-supported by the National Natural Science Foundation of China(Nos.U1909217,U1709208)the Zhejiang Provincial Natural Science Foundation of China(No.LD21E050001)the Zhejiang Special Support Program for High-level Personnel Recruitment of China(No.2018R52034).
文摘The underlying study investigates single valued neutrosophic entropy based adaptive sensitive frequency band selection for variational mode decomposition(VMD)for the purpose of identifying defective components in an axial pump.The proposed methodology is applied in the following steps.First,VMD is applied for decomposing vibration signals into various frequency bands,called as modes.After computing energy of each VMD,the lower(minimum)and upper(maximum)bounds from these energy readings are extracted for defect conditions,such as outer race,inner race,worn piston,faulty cylinder and valve plate,and blocked hole of the piston.Thereafter,energy interval ranges are obtained and further converted into the form of single valued neutrosophic sets(SVNSs).Then,the proposed neutrosophic entropy measure is deployed for quantifying the non-linear connection between each bearing defect conditions and various frequency bands.The mode having maximum neutrosophic entropy value is designated to the“most sensitive”frequency band.Thereafter,envelope demodulation is applied to the most sensitive selected frequency band for finding defective components.The proposed neutrosophic entropy and VMD based methodology is effective in providing a better insight for selecting suitable frequency band for carrying out envelope demodulation in comparison to existing methods.
