Self diagnosis and repair system

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SUMMARY

A self-diagnosis and repair system for machines can theoretically identify impending faults and assist users in rectifying issues in real-time. The discussion highlights examples such as using pressurized air to clear carburetor jets and organic chemicals for cleaning spark plugs. While the concept is feasible, the implementation may not be cost-effective due to the complexity and expense of developing such advanced systems, including those that can bypass flaws in their own logic circuitry through redundancy.

PREREQUISITES
  • Understanding of machine diagnostics
  • Familiarity with engine components, specifically carburetors and spark plugs
  • Knowledge of pressurized air systems and chemical cleaning agents
  • Basic principles of redundancy in engineering systems
NEXT STEPS
  • Research advanced machine learning algorithms for predictive maintenance
  • Explore the development of self-repairing systems in robotics
  • Investigate the use of organic chemicals in automotive maintenance
  • Learn about redundancy techniques in critical system design
USEFUL FOR

Engineers, automotive technicians, and developers interested in predictive maintenance and self-repair technologies will benefit from this discussion.

shivakumar06
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can we have a system in which the machine is able to diagnosis the fault yet to come in minutes and suggest as well as assist the user to rectify it in while the machine is working. for example in an engine when the dirt sticks in jet of carburetor then a pressurized air is used to remove it or a new organic chemical which can flush out the dirt in the spark plug easily.
 
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shivakumar06 said:
can we have a system in which the machine is able to diagnosis the fault yet to come in minutes and suggest as well as assist the user to rectify it in while the machine is working. for example in an engine when the dirt sticks in jet of carburetor then a pressurized air is used to remove it or a new organic chemical which can flush out the dirt in the spark plug easily.

If you are willing to pay for it, you can design a machine to take care of most of the problems you can forsee. I don't think it would be cost-effective, but it is theoretically possible. Even machines that can circumvent flaws in their own logic circuitry are possible, but again, expensive, through redundancy.
 

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