Bionic Artificial Self-Recovery Enables Autonomous Health of Machine
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Abstract
Abstract This paper explores Engineering self-recoveries theory, which emerged from the research of Bionics to meet the great demand of modern high-risk process manufacturing and the development of aerospace vehicles. Bionics opens a new era in which artefact s learn from natural objects. With the rapid development of the industrial Internet and Artificial intelligence technology, we have gained a deep understanding of the law of fault generation and development, which provides an opportunity for the emergence of Engineering self-recoveries theory. Engineering self-recoveries expands the research field of Cybernetics and Engineering cybernetics, endows machines with the self-recovery mechanism, which is unique to humans and animals, and enables machines to store, supplement and activate self-recovery power to maintain body health. Bionics research on Artificial intelligence has greatly enhanced the function of imitating the human brain, but has ignored the important system and function of humans and animals to maintain their own health—the self-recovery system and self-recovery function. Artificial intelligence imitates the conscious thinking control behaviour of the human brain to realize automation and intellectualization, making machines smarter. Artificial self-recovery can imitate the self-recovery mechanism of human unconscious thinking, and prevent and suppress faults in operation to realize self-recovery, possibly making machines healthier. Artificial self-recovery technology includes self-repair, compensation, self-protection and self-recovery regulation. Engineering self-recoveries is the basis of the autonomous health of machines and even artificial systems, and a new research field of Bionics. This has broad application prospects in engineering.
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Research context
OpenAlex topics: Cognitive Computing and Networks · AI-based Problem Solving and Planning · Advanced Data Processing Techniques
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