1.Detection for fault about abnormal maximum value of conductivity of hemodialysis machine on the basis of signal characteristics of jump transition
Kan LI ; Wei JIANG ; Jing ZHANG ; Runrun CHI
China Medical Equipment 2025;22(10):30-34
Objective:To propose a detection method for the fault about abnormal maximum value of conductivity of hemodialysis machine on the basis of signal characteristics of jump transition,so as to solve the problem of lower accuracy in detecting fault about abnormal maximum value of conductivity of hemodialysis machine under the influence of interference source coupling.Method:Using a conductivity detector collected the conduction signal of dialysate,then,the processed and converted electrical signals were amplified,and the noise and interference signals from the electrical signal were further removed.The digital filter was constructed by using transfer functions and variable equations,and the digital filter was used to process and convert the original signal as electrical signal.The collected signals about flow volume of blood,flow volume of dialysate,and pressure of the hemodialysis machine were superposed and fitted.The mean values and standard deviations of signal changes were obtained by combining instantaneous frequency of the basic frequency of signal characteristics of jump transition.The chaos superposition was avoided when the signal mode was decomposed.The fault parameters of the signals of jump transition were extracted.The difference calculation was used to calculate the rate of signal change,and calibrate the signals of jump transition,and realize reconstruction for signals.The power spectrum was used to fit the power spectral density of the signals of jump transition.The conductivity value of the hemodialysis machine was calculated.Compare with the set threshold value,the detection for the faults about abnormal maximum value of conductivity of hemodialysis machine was realized.Results:The experimental results showed that the signal of jump transition was recognized at 1.5 and 4.5 s through applied the proposed method,and the corresponding conductivity values were respectively 15.0 and 14.7 mS/cm.The equipment occurred fault about abnormal maximum value of conductivity when it exceeded the preset threshold value 14.5 mS/cm.The false negative rate of the formulated method was less than 30%in detecting the fault about abnormal maximum value of conductivity of hemodialysis machine.Conclusion:This method improves the accuracy of detecting the faults about abnormal maximum value of conductivity of hemodialysis machine,which can effectively maintain stable operation of hemodialysis machine.
2.Detection for fault about abnormal maximum value of conductivity of hemodialysis machine on the basis of signal characteristics of jump transition
Kan LI ; Wei JIANG ; Jing ZHANG ; Runrun CHI
China Medical Equipment 2025;22(10):30-34
Objective:To propose a detection method for the fault about abnormal maximum value of conductivity of hemodialysis machine on the basis of signal characteristics of jump transition,so as to solve the problem of lower accuracy in detecting fault about abnormal maximum value of conductivity of hemodialysis machine under the influence of interference source coupling.Method:Using a conductivity detector collected the conduction signal of dialysate,then,the processed and converted electrical signals were amplified,and the noise and interference signals from the electrical signal were further removed.The digital filter was constructed by using transfer functions and variable equations,and the digital filter was used to process and convert the original signal as electrical signal.The collected signals about flow volume of blood,flow volume of dialysate,and pressure of the hemodialysis machine were superposed and fitted.The mean values and standard deviations of signal changes were obtained by combining instantaneous frequency of the basic frequency of signal characteristics of jump transition.The chaos superposition was avoided when the signal mode was decomposed.The fault parameters of the signals of jump transition were extracted.The difference calculation was used to calculate the rate of signal change,and calibrate the signals of jump transition,and realize reconstruction for signals.The power spectrum was used to fit the power spectral density of the signals of jump transition.The conductivity value of the hemodialysis machine was calculated.Compare with the set threshold value,the detection for the faults about abnormal maximum value of conductivity of hemodialysis machine was realized.Results:The experimental results showed that the signal of jump transition was recognized at 1.5 and 4.5 s through applied the proposed method,and the corresponding conductivity values were respectively 15.0 and 14.7 mS/cm.The equipment occurred fault about abnormal maximum value of conductivity when it exceeded the preset threshold value 14.5 mS/cm.The false negative rate of the formulated method was less than 30%in detecting the fault about abnormal maximum value of conductivity of hemodialysis machine.Conclusion:This method improves the accuracy of detecting the faults about abnormal maximum value of conductivity of hemodialysis machine,which can effectively maintain stable operation of hemodialysis machine.

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