A Fault Tree Analysis (FTA) Focusing the Design Attributes and Decision Tree Analysis (DTA) Comparing Payload: Weight for Various Adhesive Mechanism of Wall Climbing Robot

Authors

  • Rakesh Rajendran Centre for Automation and Robotics(ANRO), Department of Mechatronics Engineering, Hindustan Institute of Technology and Science, Chennai, Tamilnadu, India.
  • Joshuva Arockia Dhanraj Centre for Automation and Robotics(ANRO), Department of Mechatronics Engineering, Hindustan Institute of Technology and Science, Chennai, Tamilnadu, India

Keywords:

Wall Climbing Robot (WCR), Fault tree Analysis(FTA), Decision Tree Analysis(DTA), payload(p), weight(w)

Abstract

Wall Climbing Robot(WCR) has become the need of the hour to accomplish many risky task in industries for various application. There are many research outcomes for the better design of this WCR, but still there is scope for improvement in design. In this paper, a fault tree analysis focusing the design attribute is presented for a Wall climbing robot and a comparison on its two key design element like payload(p) and weight(w) is done across various types of adhesive mechanism like bio inspired, electro adhesive, rope and rail and chemical adhesive type using the Decision Tree Analysis. With rapid growth in technology, the scope for research in this area has widen up to enhance the performance of the bot. To propose an innovative design, it is essential to understand the existing design and its value (ie p: w), such that the repetition of design can be avoided and this also helps the researcher to know how to arrive an optimal design. This paper helps a beginner to understand in how to choose an appropriate adhesive mechanism for wall climbing robot when payload and self-weight of WCR are considered as important parameter for the application

 

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Published

16.04.2023

How to Cite

Rakesh Rajendran, & Joshuva Arockia Dhanraj. (2023). A Fault Tree Analysis (FTA) Focusing the Design Attributes and Decision Tree Analysis (DTA) Comparing Payload: Weight for Various Adhesive Mechanism of Wall Climbing Robot. International Journal of Intelligent Systems and Applications in Engineering, 11(5s), 606–617. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/2822