CNC machine tool fault diagnosis method?
Release time:
2020-08-07
1. Intuitive method
Using sensory organs, pay attention to various phenomena when a failure occurs, such as whether there are sparks, bright lights, abnormal noises, abnormal fever, and scorching smell. Carefully observe the surface condition of each printed circuit board that may fail, whether there are signs of burning and damage, in order to further narrow the scope of inspection, this is one of the most basic and most commonly used methods.
2. Self-diagnosis function of CNC system
Relying on the ability of CNC system to quickly process data, the error site for multi-channel, fast signal acquisition and processing, and then by the diagnostic program for logical analysis to determine whether the system has a fault, in time to locate the fault. Modern CNC system self-diagnosis function can be divided into the following two categories:
1) Start-up self-diagnosis Start-up self-diagnosis means that the diagnostic program inside the system automatically performs functional tests on CPU, memory, bus, I/O unit and other modules, printed circuit boards, CRT units, photoelectric readers, floppy disk drives and other equipment before operation from each power-on to the normal operation preparation state to confirm whether the main hardware of the system can work normally.
2) Fault information prompts When a fault occurs during the operation of the machine tool, the number and content will be displayed on the CRT display. According to the prompt, consult the relevant maintenance manual to confirm the cause of the fault and the troubleshooting method. Generally speaking, the more abundant the fault information prompted by the diagnosis function of CNC machine tools, the more convenient it can bring to fault diagnosis. However, it should be noted that some faults can directly confirm the cause of the fault according to the fault content prompt and consult the manual. However, the real cause of some faults is not consistent with the fault content prompt, or a fault shows multiple fault causes, which requires maintenance personnel to find out the internal relationship between them and indirectly confirm the cause of the fault.
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