The crack fault is one of the most common faults in the rotor system,and researchers have paid close attention to its fault diagnosis.However,most studies focus on discussing the dynamic response characteristics cause...The crack fault is one of the most common faults in the rotor system,and researchers have paid close attention to its fault diagnosis.However,most studies focus on discussing the dynamic response characteristics caused by the crack rather than estimating the crack depth and position based on the obtained vibration signals.In this paper,a novel crack fault diagnosis and location method for a dual-disk hollow shaft rotor system based on the Radial basis function(RBF)network and Pattern recognition neural network(PRNN)is presented.Firstly,a rotor system model with a breathing crack suitable for a short-thick hollow shaft rotor is established based on the finite element method,where the crack's periodic opening and closing pattern and different degrees of crack depth are considered.Then,the dynamic response is obtained by the harmonic balance method.By adjusting the crack parameters,the dynamic characteristics related to the crack depth and position are analyzed through the amplitude-frequency responses and waterfall plots.The analysis results show that the first critical speed,first subcritical speed,first critical speed amplitude,and super-harmonic resonance peak at the first subcritical speed can be utilized for the crack fault diagnosis.Based on this,the RBF network and PRNN are adopted to determine the depth and approximate location of the crack respectively by taking the above dynamic characteristics as input.Test results show that the proposed method has high fault diagnosis accuracy.This research proposes a crack detection method adequate for the hollow shaft rotor system,where the crack depth and position are both unknown.展开更多
AIM:To investigate the prevalence of chronic dyspnea and its relationship to respiratory muscle function in end-stage liver disease.METHODS:Sixty-eight consecutive,ambulatory,Caucasian patients with end-stage liver di...AIM:To investigate the prevalence of chronic dyspnea and its relationship to respiratory muscle function in end-stage liver disease.METHODS:Sixty-eight consecutive,ambulatory,Caucasian patients with end-stage liver disease,candidates for liver transplantation,were referred for preoperative respiratory function assessment.Forty of these(29 men) were included in this preliminary study after applying strict inclusion and exclusion criteria.Seventeen of 40 patients(42%) had ascites,but none of them was cachectic.Fifteen of 40 patients(38%)had a history of hepatic encephalopathy,though none of them was symptomatic at study time.All patients with a known history and/or presence of co-morbidities were excluded.Chronic dyspnea was rated according to the modified medical research council(mMRC) 6-point scale.Liver disease severity was assessed according to the Model for end-stage liver disease(MELD).Routine lung function tests,maximum static expiratory(Pemax) and inspiratory(Pimax) mouth pressures were measured.Respiratory muscle strength(RMS) was calculated from Pimax and Pemax values.In addition,arterial blood gases and pattern of breathing(VE:minute ventilation;VT:tidal volume;VT/TI:mean inspiratory flow;TI:duration of inspiration) were measured.RESULTS:Thirty-five(88%) of 40 patients aged(mean ± SD) 52 ± 10 years reported various degrees of chronic dyspnea(mMRC),ranging from 0 to 4,with a mean value of 2.0 ± 1.2.MELD score was 14 ± 6.Pemax,percent of predicted(%pred) was 105 ± 35,Pimax,%pred was 90 ± 29,and RMS,%pred was 97 ± 30.These pressures were below the normal limits in 12(30%),15(38%),and 14(35%) patients,respectively.Furthermore,comparing the subgroups of ascites to non-ascites patients,all respiratory muscle indices measured were found significantly decreased in ascites patients.Patients with ascites also had a significantly worse MELD score compared to non-ascites ones(P = 0.006).Significant correlations were found between chronic dyspnea and respiratory muscle function indices in all patients.Specific展开更多
基金Supported by National Natural Science Foundation of China (Grant No.11972129)National Science and Technology Major Project of China (Grant No.2017-IV-0008-0045)+1 种基金Heilongjiang Provincial Natural Science Foundation (Grant No.YQ2022A008)the Fundamental Research Funds for the Central Universities。
文摘The crack fault is one of the most common faults in the rotor system,and researchers have paid close attention to its fault diagnosis.However,most studies focus on discussing the dynamic response characteristics caused by the crack rather than estimating the crack depth and position based on the obtained vibration signals.In this paper,a novel crack fault diagnosis and location method for a dual-disk hollow shaft rotor system based on the Radial basis function(RBF)network and Pattern recognition neural network(PRNN)is presented.Firstly,a rotor system model with a breathing crack suitable for a short-thick hollow shaft rotor is established based on the finite element method,where the crack's periodic opening and closing pattern and different degrees of crack depth are considered.Then,the dynamic response is obtained by the harmonic balance method.By adjusting the crack parameters,the dynamic characteristics related to the crack depth and position are analyzed through the amplitude-frequency responses and waterfall plots.The analysis results show that the first critical speed,first subcritical speed,first critical speed amplitude,and super-harmonic resonance peak at the first subcritical speed can be utilized for the crack fault diagnosis.Based on this,the RBF network and PRNN are adopted to determine the depth and approximate location of the crack respectively by taking the above dynamic characteristics as input.Test results show that the proposed method has high fault diagnosis accuracy.This research proposes a crack detection method adequate for the hollow shaft rotor system,where the crack depth and position are both unknown.
文摘AIM:To investigate the prevalence of chronic dyspnea and its relationship to respiratory muscle function in end-stage liver disease.METHODS:Sixty-eight consecutive,ambulatory,Caucasian patients with end-stage liver disease,candidates for liver transplantation,were referred for preoperative respiratory function assessment.Forty of these(29 men) were included in this preliminary study after applying strict inclusion and exclusion criteria.Seventeen of 40 patients(42%) had ascites,but none of them was cachectic.Fifteen of 40 patients(38%)had a history of hepatic encephalopathy,though none of them was symptomatic at study time.All patients with a known history and/or presence of co-morbidities were excluded.Chronic dyspnea was rated according to the modified medical research council(mMRC) 6-point scale.Liver disease severity was assessed according to the Model for end-stage liver disease(MELD).Routine lung function tests,maximum static expiratory(Pemax) and inspiratory(Pimax) mouth pressures were measured.Respiratory muscle strength(RMS) was calculated from Pimax and Pemax values.In addition,arterial blood gases and pattern of breathing(VE:minute ventilation;VT:tidal volume;VT/TI:mean inspiratory flow;TI:duration of inspiration) were measured.RESULTS:Thirty-five(88%) of 40 patients aged(mean ± SD) 52 ± 10 years reported various degrees of chronic dyspnea(mMRC),ranging from 0 to 4,with a mean value of 2.0 ± 1.2.MELD score was 14 ± 6.Pemax,percent of predicted(%pred) was 105 ± 35,Pimax,%pred was 90 ± 29,and RMS,%pred was 97 ± 30.These pressures were below the normal limits in 12(30%),15(38%),and 14(35%) patients,respectively.Furthermore,comparing the subgroups of ascites to non-ascites patients,all respiratory muscle indices measured were found significantly decreased in ascites patients.Patients with ascites also had a significantly worse MELD score compared to non-ascites ones(P = 0.006).Significant correlations were found between chronic dyspnea and respiratory muscle function indices in all patients.Specific
