The Experts below are selected from a list of 446892 Experts worldwide ranked by ideXlab platform

J Ponsllinares - One of the best experts on this subject based on the ideXlab platform.

  • reliable Detection of induction motor rotor faults under the rotor axial air duct influence
    IEEE Transactions on Industry Applications, 2014
    Co-Authors: Chanseung Yang, Taejune Kang, Doosoo Hyun, Sang Bin Lee, Jose A Antoninodaviu, J Ponsllinares
    Abstract:

    Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry and can cause steady-state current or vibration spectrum analysis Based fault Detection techniques to fail. If the number of axial air ducts and that of poles are identical, frequency components that overlap with that of rotor faults can be produced for healthy motors. False positive rotor fault indication due to axial ducts is a common problem in the field that results in unnecessary maintenance cost. However, there is currently no known test Method available for distinguishing rotor faults and false indications due to axial ducts other than offline rotor inspection or testing. Considering that there is no magnetic asymmetry under high slip conditions due to limited flux penetration into the rotor yoke, the Detection of broken bars under the start-up transient is investigated in this paper. A wavelet-Based Detection Method is proposed and verified on custom-built lab motors and 6.6-kV motors misdiagnosed with broken bars via steady-state spectrum analysis. It is shown that the proposed Method provides the reliable Detection of broken bars under the start-up transient independent of axial duct influence.

  • reliable Detection of induction motor rotor faults under the rotor axial air duct influence
    Energy Conversion Congress and Exposition, 2013
    Co-Authors: Chanseung Yang, Taejune Kang, Doosoo Hyun, Sang Bin Lee, Jose A Antoninodaviu, J Ponsllinares
    Abstract:

    Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry, and can cause steady state current or vibration spectrum analysis Based fault Detection techniques to fail. If the number of axial air ducts and poles are identical, frequency components that overlap with that of rotor faults can be produced for healthy motors. False positive rotor fault indication due to axial ducts is a common problem in the field that results in unnecessary maintenance cost. However, there is currently no known test Method available for distinguishing rotor faults and false indications due to axial ducts other than off-line rotor inspection or testing. Considering that there is no magnetic asymmetry under high slip conditions due to limited flux penetration into the rotor yoke, Detection of broken bars under the startup transient is investigated in this paper. A wavelet-Based Detection Method is proposed and verified on custom-built lab motors and 6.6 kV motors misdiagnosed with broken bars via steady state spectrum analysis. It is shown that the proposed Method provides reliable Detection of broken bars under the startup transient independent of axial duct influence.

Bruce E Tabashnik - One of the best experts on this subject based on the ideXlab platform.

  • dna Based Detection of bt resistance alleles in pink bollworm
    Insect Biochemistry and Molecular Biology, 2004
    Co-Authors: Shai Morin, Scottie Henderson, Jeffrey A Fabrick, Yves Carriere, Timothy J Dennehy, Judith K Brown, Bruce E Tabashnik
    Abstract:

    Evolution of resistance by pests is the main threat to long-term insect control by transgenic crops that produce Bacillus thuringiensis (Bt) toxins. We previously identified three mutant alleles (r1, r2, r3) of a cadherin gene in pink bollworm (Pectinophora gossypiella) linked with recessive resistance to Bt toxin Cry1Ac and survival on transgenic Bt cotton. Here we describe a polymerase chain reaction (PCR)-Based Method that detects the mutation in genomic DNA of each of the three resistant alleles. Using primers that distinguish between resistant and susceptible (s) alleles, this Method enables identification of 10 genotypes (r1r1, r1r2, r1r3, r2r2, r2r3, r3r3, r1s, r2s, r3s, and ss) at the cadherin locus. For each of the three resistant alleles, the Method detected the resistance allele in a single heterozygote (r1s, r2s ,o rr3s) pooled with DNA from the equivalent of 19 susceptible (ss) individuals. The results suggest that the DNA-Based Detection Method described here could greatly increase the efficiency of monitoring for resistance to Cry1Ac compared to bioassays that detect rare individuals with homozygous resistance. r 2004 Elsevier Ltd. All rights reserved.

  • dna Based Detection of bt resistance alleles in pink bollworm
    Insect Biochemistry and Molecular Biology, 2004
    Co-Authors: Shai Morin, Scottie Henderson, Jeffrey A Fabrick, Yves Carriere, Timothy J Dennehy, Judith K Brown, Bruce E Tabashnik
    Abstract:

    Evolution of resistance by pests is the main threat to long-term insect control by transgenic crops that produce Bacillus thuringiensis (Bt) toxins. We previously identified three mutant alleles (r1, r2, r3) of a cadherin gene in pink bollworm (Pectinophora gossypiella) linked with recessive resistance to Bt toxin Cry1Ac and survival on transgenic Bt cotton. Here we describe a polymerase chain reaction (PCR)-Based Method that detects the mutation in genomic DNA of each of the three resistant alleles. Using primers that distinguish between resistant and susceptible (s) alleles, this Method enables identification of 10 genotypes (r1r1, r1r2, r1r3, r2r2, r2r3, r3r3, r1s, r2s, r3s, and ss) at the cadherin locus. For each of the three resistant alleles, the Method detected the resistance allele in a single heterozygote (r1s, r2s, or r3s) pooled with DNA from the equivalent of 19 susceptible (ss) individuals. The results suggest that the DNA-Based Detection Method described here could greatly increase the efficiency of monitoring for resistance to Cry1Ac compared to bioassays that detect rare individuals with homozygous resistance.

Chanseung Yang - One of the best experts on this subject based on the ideXlab platform.

  • reliable Detection of induction motor rotor faults under the rotor axial air duct influence
    IEEE Transactions on Industry Applications, 2014
    Co-Authors: Chanseung Yang, Taejune Kang, Doosoo Hyun, Sang Bin Lee, Jose A Antoninodaviu, J Ponsllinares
    Abstract:

    Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry and can cause steady-state current or vibration spectrum analysis Based fault Detection techniques to fail. If the number of axial air ducts and that of poles are identical, frequency components that overlap with that of rotor faults can be produced for healthy motors. False positive rotor fault indication due to axial ducts is a common problem in the field that results in unnecessary maintenance cost. However, there is currently no known test Method available for distinguishing rotor faults and false indications due to axial ducts other than offline rotor inspection or testing. Considering that there is no magnetic asymmetry under high slip conditions due to limited flux penetration into the rotor yoke, the Detection of broken bars under the start-up transient is investigated in this paper. A wavelet-Based Detection Method is proposed and verified on custom-built lab motors and 6.6-kV motors misdiagnosed with broken bars via steady-state spectrum analysis. It is shown that the proposed Method provides the reliable Detection of broken bars under the start-up transient independent of axial duct influence.

  • reliable Detection of induction motor rotor faults under the rotor axial air duct influence
    Energy Conversion Congress and Exposition, 2013
    Co-Authors: Chanseung Yang, Taejune Kang, Doosoo Hyun, Sang Bin Lee, Jose A Antoninodaviu, J Ponsllinares
    Abstract:

    Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry, and can cause steady state current or vibration spectrum analysis Based fault Detection techniques to fail. If the number of axial air ducts and poles are identical, frequency components that overlap with that of rotor faults can be produced for healthy motors. False positive rotor fault indication due to axial ducts is a common problem in the field that results in unnecessary maintenance cost. However, there is currently no known test Method available for distinguishing rotor faults and false indications due to axial ducts other than off-line rotor inspection or testing. Considering that there is no magnetic asymmetry under high slip conditions due to limited flux penetration into the rotor yoke, Detection of broken bars under the startup transient is investigated in this paper. A wavelet-Based Detection Method is proposed and verified on custom-built lab motors and 6.6 kV motors misdiagnosed with broken bars via steady state spectrum analysis. It is shown that the proposed Method provides reliable Detection of broken bars under the startup transient independent of axial duct influence.

Shai Morin - One of the best experts on this subject based on the ideXlab platform.

  • dna Based Detection of bt resistance alleles in pink bollworm
    Insect Biochemistry and Molecular Biology, 2004
    Co-Authors: Shai Morin, Scottie Henderson, Jeffrey A Fabrick, Yves Carriere, Timothy J Dennehy, Judith K Brown, Bruce E Tabashnik
    Abstract:

    Evolution of resistance by pests is the main threat to long-term insect control by transgenic crops that produce Bacillus thuringiensis (Bt) toxins. We previously identified three mutant alleles (r1, r2, r3) of a cadherin gene in pink bollworm (Pectinophora gossypiella) linked with recessive resistance to Bt toxin Cry1Ac and survival on transgenic Bt cotton. Here we describe a polymerase chain reaction (PCR)-Based Method that detects the mutation in genomic DNA of each of the three resistant alleles. Using primers that distinguish between resistant and susceptible (s) alleles, this Method enables identification of 10 genotypes (r1r1, r1r2, r1r3, r2r2, r2r3, r3r3, r1s, r2s, r3s, and ss) at the cadherin locus. For each of the three resistant alleles, the Method detected the resistance allele in a single heterozygote (r1s, r2s ,o rr3s) pooled with DNA from the equivalent of 19 susceptible (ss) individuals. The results suggest that the DNA-Based Detection Method described here could greatly increase the efficiency of monitoring for resistance to Cry1Ac compared to bioassays that detect rare individuals with homozygous resistance. r 2004 Elsevier Ltd. All rights reserved.

  • dna Based Detection of bt resistance alleles in pink bollworm
    Insect Biochemistry and Molecular Biology, 2004
    Co-Authors: Shai Morin, Scottie Henderson, Jeffrey A Fabrick, Yves Carriere, Timothy J Dennehy, Judith K Brown, Bruce E Tabashnik
    Abstract:

    Evolution of resistance by pests is the main threat to long-term insect control by transgenic crops that produce Bacillus thuringiensis (Bt) toxins. We previously identified three mutant alleles (r1, r2, r3) of a cadherin gene in pink bollworm (Pectinophora gossypiella) linked with recessive resistance to Bt toxin Cry1Ac and survival on transgenic Bt cotton. Here we describe a polymerase chain reaction (PCR)-Based Method that detects the mutation in genomic DNA of each of the three resistant alleles. Using primers that distinguish between resistant and susceptible (s) alleles, this Method enables identification of 10 genotypes (r1r1, r1r2, r1r3, r2r2, r2r3, r3r3, r1s, r2s, r3s, and ss) at the cadherin locus. For each of the three resistant alleles, the Method detected the resistance allele in a single heterozygote (r1s, r2s, or r3s) pooled with DNA from the equivalent of 19 susceptible (ss) individuals. The results suggest that the DNA-Based Detection Method described here could greatly increase the efficiency of monitoring for resistance to Cry1Ac compared to bioassays that detect rare individuals with homozygous resistance.

Jose A Antoninodaviu - One of the best experts on this subject based on the ideXlab platform.

  • reliable Detection of induction motor rotor faults under the rotor axial air duct influence
    IEEE Transactions on Industry Applications, 2014
    Co-Authors: Chanseung Yang, Taejune Kang, Doosoo Hyun, Sang Bin Lee, Jose A Antoninodaviu, J Ponsllinares
    Abstract:

    Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry and can cause steady-state current or vibration spectrum analysis Based fault Detection techniques to fail. If the number of axial air ducts and that of poles are identical, frequency components that overlap with that of rotor faults can be produced for healthy motors. False positive rotor fault indication due to axial ducts is a common problem in the field that results in unnecessary maintenance cost. However, there is currently no known test Method available for distinguishing rotor faults and false indications due to axial ducts other than offline rotor inspection or testing. Considering that there is no magnetic asymmetry under high slip conditions due to limited flux penetration into the rotor yoke, the Detection of broken bars under the start-up transient is investigated in this paper. A wavelet-Based Detection Method is proposed and verified on custom-built lab motors and 6.6-kV motors misdiagnosed with broken bars via steady-state spectrum analysis. It is shown that the proposed Method provides the reliable Detection of broken bars under the start-up transient independent of axial duct influence.

  • reliable Detection of induction motor rotor faults under the rotor axial air duct influence
    Energy Conversion Congress and Exposition, 2013
    Co-Authors: Chanseung Yang, Taejune Kang, Doosoo Hyun, Sang Bin Lee, Jose A Antoninodaviu, J Ponsllinares
    Abstract:

    Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry, and can cause steady state current or vibration spectrum analysis Based fault Detection techniques to fail. If the number of axial air ducts and poles are identical, frequency components that overlap with that of rotor faults can be produced for healthy motors. False positive rotor fault indication due to axial ducts is a common problem in the field that results in unnecessary maintenance cost. However, there is currently no known test Method available for distinguishing rotor faults and false indications due to axial ducts other than off-line rotor inspection or testing. Considering that there is no magnetic asymmetry under high slip conditions due to limited flux penetration into the rotor yoke, Detection of broken bars under the startup transient is investigated in this paper. A wavelet-Based Detection Method is proposed and verified on custom-built lab motors and 6.6 kV motors misdiagnosed with broken bars via steady state spectrum analysis. It is shown that the proposed Method provides reliable Detection of broken bars under the startup transient independent of axial duct influence.