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To solve the problem of performance degradation caused by abnormal rotor assembly, this paper analyzed the possible magnetic steel leakage and missing angle fault modes during the assembly process of the rotor assembly. The leakage mode can be prevented through surface magnetic detection, while the missing angle mode cannot be detected and recognized by surface magnetic detection equipment in the industry. Therefore, the paper proposed a method for error prevention and recognition through the analysis of the back electromotive force and vibration characteristic order of the motor, the method can identify the amplitude of higher characteristic order vibration of the motor that exceeding the standard value. In the actual production and manufacturing process, attention is paid to the collection of offline vibration signals of the motor for abnormal operation judgment. After practical verification, this method can effectively identify magnetic steel leakage and missing angle fault modes.
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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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