Abstract
Artificial Intelligence (AI) is playing a dominant role in the 21st century. Organizations have more data than ever, so it’s crucial to ensure that the analytics team should differentiate between Interesting Data and Useful Data. Amongst the important aspects in Machine Learning are “Feature Selection” and “Feature Extraction”. We are now witnessing the emerging fourth industrial revolution and a considerable number of evolutionary changes in machine learning methodologies to achieve operational excellence in operating and maintaining the industrial assets efficiently, reliably, safely and cost-effectively. AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, case-based reasoning and any combination of these techniques (hybrid systems), machine learning, biomimicry such as swarm intelligence and distributed intelligence. are widely used by multi-disciplinarians to solve a whole range of hitherto intractable problems associated with the proactive maintenance management of industrial assets. In this paper, an attempt is made to review the role of artificial intelligence in condition monitoring and diagnostic engineering management of modern engineering assets. The paper also highlights that unethical and immoral misuse of AI is dangerous.
Highlights
In the first half of the 20th century, science fiction familiarized the world with the concept of artificially intelligent robots
This paper focuses on the field of Artificial Intelligence (AI), especially reasoning technology and explores how it has helped the growth of Integrated Vehicle Health Management (IVHM) in the past
We aim to provide information about the intrinsic potential of existing bioinspired techniques which has not been explored yet, for improving cyber security. (l) Malicious application of Artificial Intelligence: Artificial intelligence and machine learning capabilities are growing at an unprecedented rate
Summary
In the first half of the 20th century, science fiction familiarized the world with the concept of artificially intelligent robots. Alan Turing explored the mathematical possibility of artificial intelligence In his 1950 paper on Computing Machinery and Intelligence he discussed how to build intelligent machines and how to test their intelligence. Intelligence (DSRPAI) hosted by John McCarthy and Marvin Minsky in 1956 The significance of this event cannot be undermined as it catalyzed the twenty years of AI research. In the 1980s a form of AI program called "expert systems" was adopted by corporations around the world and knowledge became the focus of mainstream AI research. In those same years, the Japanese government aggressively funded AI with its fifth generation computer project. Artificial intelligence is widely used in many applications such as Internet–of–things, cyber-physical systems, intelligent transportation systems, smart vehicles, big data analytics, understanding complex networks, neural networks, fuzzy systems, neuro-fuzzy systems, deep learning, real world applications, self-organizing, emerging or bioinspired systems, global optimization, meta-heuristics and their applications, evolutionary algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc
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