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Outline
To investigate the reliability of electric gate valves and challenges in minor fault identification，reliability enhancement testing （RET） technology was applied to simulate valve faults under non‑destructive conditions. Response data from two typical failure modes were collected and analyzed using three machine learning methods （decision tree，random forest，gradient boosting） combined with two optimization approaches （grid search，actor‑critic reinforcement learning）. Results indicate that RET effectively simulates valve sticking and jamming faults without physical damage，achieving cost‑efficient fault replication. The integration of current and vibration features significantly enhances fault recognition accuracy： normal data identification accuracy reaches 98% with random forest and gradient boosting，while fault data identification peaks at 82% using random forest and decision tree. Multi‑feature fusion improves model performance by leveraging data characteristics. Reinforcement learning boosts random forest accuracy by 21% （vibration features），15% （vibration‑current features），and 6% （current features），but degrades gradient boosting performance. Decision Tree excels in processing multi‑feature data with superior fault recognition，while random forest maintains robust performance across single and combined features. Gradient boosting exhibits instability requiring feature‑specific optimization. For industrial applications，random forest and decision tree with multi‑feature fusion are recommended to enhance classification performance. This study provides technical references for electric gate valve fault diagnosis.
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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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