Full
Outline
To meet the requirements for stable operation monitoring and safety early warning of 90 MPa diaphragm hydrogen compressors used in hydrogen refueling stations，a self‑learning monitoring and early warning method based on a clustering matrix was proposed.Initially，a moving window method with a window length of 10 was used to group the monitored operational conditions in time series.Then，12 combined statistical indicators were employed to mine the implicit information from 18 monitored parameters.Subsequently，a clustering matrix algorithm was constructed to model and identify the states of the selected 10 monitored parameters.Combining expert experience，a weight matrix was established based on accuracy，recall rate，and time consumption.Considering the long‑term and variable operational characteristics of hydrogen compressors，KL and JS divergences and KS tests are introduced to construct a self‑updating strategy，with thresholds set at 1.0 and 0.3 and a significance level of 0.05.The experimental results show that for over 8 000 data sets in iterative testing，the model's average accuracy recovers from a low of 66.75% to 94.87%，and the average recall rate improves to 90.64%，with a total core computation time of 111.37 s，validating the model's self‑updating capability and sensitivity to data from different operational distributions.This study provides support for the full lifecycle monitoring and early warning of diaphragm hydrogen compressors.
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| 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 |
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