铁道标准设计
鐵道標準設計
철도표준설계
Railway Standard Design
2015年
11期
104-109
,共6页
陆晓峰%王小敏%李光耀
陸曉峰%王小敏%李光耀
륙효봉%왕소민%리광요
轨道电路%故障诊断%Mamdani模糊逻辑%神经网络%自适应%动量
軌道電路%故障診斷%Mamdani模糊邏輯%神經網絡%自適應%動量
궤도전로%고장진단%Mamdani모호라집%신경망락%자괄응%동량
Track circuit%Fault diagnosis%Mamdani fuzzy logic%Neural network%Adaptive-momentum
针对25 Hz相敏轨道电路故障的不确定性与模糊性，提出一种基于Mamdani模糊神经网络的轨道电路故障智能诊断改进方法。采用自适应动量BP学习调整法对模型参数进行训练优化，给出推导过程，并讨论系统参数初始值的设定。仿真实验表明，在相同实验条件下改进方法降低了训练误差，并有效地提高了诊断学习过程的稳定性与收敛速度，对25 Hz轨道电路故障进行智能模糊诊断是可行的。
針對25 Hz相敏軌道電路故障的不確定性與模糊性，提齣一種基于Mamdani模糊神經網絡的軌道電路故障智能診斷改進方法。採用自適應動量BP學習調整法對模型參數進行訓練優化，給齣推導過程，併討論繫統參數初始值的設定。倣真實驗錶明，在相同實驗條件下改進方法降低瞭訓練誤差，併有效地提高瞭診斷學習過程的穩定性與收斂速度，對25 Hz軌道電路故障進行智能模糊診斷是可行的。
침대25 Hz상민궤도전로고장적불학정성여모호성，제출일충기우Mamdani모호신경망락적궤도전로고장지능진단개진방법。채용자괄응동량BP학습조정법대모형삼수진행훈련우화，급출추도과정，병토론계통삼수초시치적설정。방진실험표명，재상동실험조건하개진방법강저료훈련오차，병유효지제고료진단학습과정적은정성여수렴속도，대25 Hz궤도전로고장진행지능모호진단시가행적。
Addressing the uncertainty and fuzziness of 25 Hz phase-sensitive track circuit faults, this paper proposes an improved track circuit fault diagnosis method based on Mamdani fuzzy neural network. The adaptive-momentum BP learning method is used to train and optimize model parameters with the derivation process and the setting of initial value of system parameters is discussed. Simulation results show that under the same experimental conditions, the improved method reduces the training error and effectively improves the stability and convergence speed of the learning process. Application of this method to 25 Hz phase-sensitive track circuit faults diagnosis is of high feasibility.
