To predict the Remaining Useful Life (RUL) of Proton Exchange Membrane Fuel Cell (PEMFC) precisely, the paper proposes a method for predicting the RUL based on neural network optimized by Improved Snow Ablation Optimizer (ISAO). Firstly the original data are preprocessed by using Pauta criterion and wavelets, then the Pearson’s correlation coefficients are used to select parameters which have strong correlation with voltage as input variables. ISAO is used to optimize hyperparameters of Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model. Then the CNN-GRU model is used to predict the output voltage of the PEMFC. Test results show that when the training set ratio is 30%, the mean absolute error is 1.6 mV, the root mean square error is 2.2 mV, the relative error is 0.41%, and the R-squared of the method is 99.20%, which are the best results the of six models. Compared with the Sparrow Search Algorithm (SSA), Snow Ablation Optimizer (SAO) and Whale Optimization Algorithm (WOA), the ISAO has faster optimization speed and better result, proving that the prediction model and the improved algorithm are effective.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |