关于数据集预处理的部分 about enhanced-gpdm

[PericlesHat]

我们采用的是discharge这个档案作为评估，通过脚本收集原mat文件中的数据。这个(168，4)的形状代表我们从这个电池组中discharge档案采集到了168个时间步，后面的四个维度分别是State of Health（SOH，详见论文定义）以及三个手工特征，分别是温度的中点、电压的中点和电压的积分，论文3.3节中有详细定义。

[PericlesHat]

你好，

我们对 NASA 数据集进行了特征工程和预处理，具体可以看我们的论文（v3）中的 2.7 节和 3.3 节。

[Jeremydream]

您好，

明白您的意思，您提到的这几个部分好像您有在代码中实现过，想问一下NASA原始数据的数据结构是如何变成您这个(168,4)shape的数据的？

Files:
B0005.mat Data for Battery #5
B0006.mat Data for Battery #6
B0007.mat Data for Battery #7
B0018.mat Data for Battery #18

Data Structure:
cycle: top level structure array containing the charge, discharge and impedance operations
type: operation type, can be charge, discharge or impedance
ambient_temperature: ambient temperature (degree C)
time: the date and time of the start of the cycle, in MATLAB date vector format
data: data structure containing the measurements
for charge the fields are:
Voltage_measured: Battery terminal voltage (Volts)
Current_measured: Battery output current (Amps)
Temperature_measured: Battery temperature (degree C)
Current_charge: Current measured at charger (Amps)
Voltage_charge: Voltage measured at charger (Volts)
Time: Time vector for the cycle (secs)
for discharge the fields are:
Voltage_measured: Battery terminal voltage (Volts)
Current_measured: Battery output current (Amps)
Temperature_measured: Battery temperature (degree C)
Current_charge: Current measured at load (Amps)
Voltage_charge: Voltage measured at load (Volts)
Time: Time vector for the cycle (secs)
Capacity: Battery capacity (Ahr) for discharge till 2.7V
for impedance the fields are:
Sense_current: Current in sense branch (Amps)
Battery_current: Current in battery branch (Amps)
Current_ratio: Ratio of the above currents
Battery_impedance: Battery impedance (Ohms) computed from raw data
Rectified_impedance: Calibrated and smoothed battery impedance (Ohms)
Re: Estimated electrolyte resistance (Ohms)
Rct: Estimated charge transfer resistance (Ohms)

[Jeremydream]

明白，所以说如果我想应用您的方法其他的数据，还需要将discharge部分的代码处理成您说的这个部分，谢谢。

[Jeremydream]

我们采用的是discharge这个档案作为评估，通过脚本收集原mat文件中的数据。这个(168，4)的形状代表我们从这个电池组中discharge档案采集到了168个时间步，后面的四个维度分别是State of Health（SOH，详见论文定义）以及三个手工特征，分别是温度的中点、电压的中点和电压的积分，论文3.3节中有详细定义。

还想请问一下您，这一部份数据处理的脚本有开源吗？以及要是没有的话，可以开源吗？

[PericlesHat]

我们计划在论文接收后开源这一部分。