Dr.P.KANNAN
@francisxavier.ac.in
Associate Professor
FRANCIS XAVIER ENGINEERING COLLEGE
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
N. A. Natraj, Sundaravadivazhagan Balasubaramanian, K. B. Gurumoorthy, A. Purushothaman, and P. Kannan
Springer Nature Switzerland
W. Stalin Jacob, P. Jenifer Darling Rosita, K. B. Gurumoorthy, P. Kannan, S. Allwin Devaraj, and Cynthia Anbuselvi Thangaraj
Springer International Publishing
P. Kannan, P. Bhuvaneswari, K. Prabhu Chandran, P. Ebby Darney, K. Lakshmi Narayanan, and R. Santhana Krishnan
Springer Nature Singapore
K. Renuka, R. P. Janani, K. Lakshmi Narayanan, P. Kannan, R. Santhana Krishnan, and Y. Harold Robinson
Springer Nature Singapore
P. Kannan and Neha S
IEEE
The bearing is a very important part of rotating machinery because it has a very high failure rate. If the high failure rate in bearing would affect the entire performance of the machinery equipment. In this paper, we present a method for extracting ball-bearing fault features of the Ball Bearing fault. An algorithm for detecting bearing faults using Wavelet Packet Transforms (WPT). Wavelet Packet Transform is used to extract the bearing signal's time-frequency characteristic. Then the Statistical feature Extraction for rolling bearing. ML Algorithm model to recognize the healthy conditions of rotating machinery. The frequency-domaining signals are used to feed the input network. The proposed method is validated using data from Case Western Reserve University's bearing data center. This will demonstrate that both steady-state and unsteady-state situations can be successfully diagnosed by the machine learning algorithm. Instead of using traditional feature technology. The algorithm in this paper has improved defect diagnostics and feature extraction.
R P Janani, K. Lakshmi Narayanan, R. Santhana Krishnan, P. Kannan, R. Kabilan, and N. Muthukumaran
IEEE
Road accidents lead to fear in anyone who travels in their daily life. Violations of traffic restrictions, negligence, and other reasons can cause road accidents, but most studies show that the majority of accidents are caused by drivers’ sudden health concerns or tiredness. Despite their unpredictability, these events have a huge impact on human lives. These problems are solved by the proposed method. To assess whether a driver is awake or asleep, as well as whether the driver has any health issues, the system employs an eye blink sensor and a photoplethysmography sensor accordingly. The sensors’ output is connected to the driver’s phone via GSM module and any other human monitor via NodeMCU (cloud server) in that order. As a result, if the driver falls asleep, he or she will be awoken. And if a medical emergency arises, he or she will be able to receive immediate assistance because they are being monitored by another person via NodeMCU, which connects to the cloud server.
S. Esakki Rajavel, G. Vinoth Rajkumar, P. Kannan, M. Vijayagandhi, S. Madhu Bala, S. Mala, and B. P. Ramya Rajam
IEEE
The range access strategy in Cognitive Radio (CR) frameworks is based on a double-evaluated capacity with Secondary Users (SUs), which have a probability of 0 or 1 depending on deliberate energy to travel to a Primary User's location (PU). This paper show that the ideal range access approach belongs to the group of genuine esteemed nonstop, where the probability of SUs getting to or not getting to the range is a genuine number between zero and one, in light of the standard of probabilistic range entry, which assigns a probability for Cognitive Radio signal transmission above the range of a Primary User. Likewise, this research work display that the arrival at access likelihood is routinely more basic than or tantamount towards the authentic miss affirmation likelihood. We research the recognized intertwine and triggered methods, in which they arrive at entree option remains 0 or 1. To the degree of the possible CR information rate, mathematical outcomes show that the suggested range access plot beats the join and triggered plans.
P. Kannan and S. Arockia Edwin Xavier
Springer Science and Business Media LLC