Fault real-time detection method for aluminum cell supplying system
A system failure and real-time detection technology, which is applied in the field of online monitoring of the operating status of the electrolyzer feeding system and feeding system failure, can solve the problems of poor ecological environment, power loss, waste, etc., achieve good technical and economic indicators, and improve the control level , the effect of reducing energy consumption
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Embodiment 1
[0024] Aluminum electrolysis workshop, its series current is 150kA, and the feeding volume of the feeder is 1.67kg after multiple calibrations. The interval is 500s, and the feeding interval in the excess cycle is 180s. The groove control system uses this method to monitor the operation status of the blanking system; the system has been running for 2 months, and the statistical results are as follows:
[0025] Electrolyzer No.
[0026] The false detection rate of its control system is 4%. A good diagnostic effect has been achieved; it can fully meet the requirements of real-time monitoring of the status of the blanking system of aluminum electrolysis production and system fault diagnosis.
Embodiment 2
[0028] Aluminum electrolysis workshop, its series current is 300kA, the feeding capacity of the feeder is 1.67kg after multiple calibrations, each electrolytic cell has 4 feeders, the number of feedings per day in a week is 580 times, and the time in the short cycle The interval is 400s, and the feeding interval in the excess cycle is 120s. The tank control system uses this method to detect the running status of the blanking system.
[0029] The groove control system uses this method to monitor the operation status of the blanking system; the system has been running for 2 months, and the statistical results are as follows:
[0030] Electrolyzer No.
1#
2#
3#
4#
5#
6#
7#
malfunction occurs
2
5
4
3
3
2
3
2
5
4
4
3
2
3
[0031] The false detection rate of its control system is 4%. A good diagnostic effect has ...
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