电气化学的噪音数据面对不同腐蚀类型被分析。在观察噪音和熵率的腐蚀类型之间的关联被认出。一个序列从原来的电气化学的噪音信号的每个集合被转变,然后, Markov 过程 M 和静止分发被计算。最后,每个序列的熵率被定义获得。从熵率,本地腐蚀显示出更低的熵率,这被观察了,当一致腐蚀显示出更高的熵率时。
Electrochemical noise data in the presence of different corrosion types were analyzed. A correlation between the corrosion type of the observed noise and the entropy rate was recognized. A sequence was transformed from each set of original electrochemical noise signal, then the Markov process M and stationary distribution μ were calculated. Finally, entropy rate of each sequence was obtained by the definition. From the entropy rate, it has been observed that local corrosion showed a lower entropy rate, while uniform corrosion showed a higher entropy rate.