Akhand Rai

About Akhand Rai

Akhand Rai, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Ahmedabad University, specializes in the field of Fault diagnosis, Fault prognosis, Artificial Intelligence, Condition-based maintenance, Condition monitoring.

His recent articles reflect a diverse array of research interests and contributions to the field:

Experimental Investigation of Optimum Source Temperature for the Adsorption Thermal Compressor Using Activated Carbon and R134a

Gear fault diagnosis based on complex network theory and error-correcting output codes: Multi class support vector machine

Research prospects of friction stir additive manufacturing (FSAM)

Prediction of ultimate tensile strength of friction stir welding joint using deep learning-based-multilayer perceptron and long short term memory networks

Industrial fluid pipeline leak detection and localization based on a multiscale Mann-Whitney test and acoustic emission event tracking

Mental Stress Detection using EEG and Recurrent Deep Learning

An intelligent fault diagnosis framework based on piecewise aggregate approximation, statistical moments, and sparse autoencoder

Maximal overlap discrete wavelet packet transforms and variants of neutrosophic cubic cross-entropy-based identification of rotor defects

Akhand Rai Information

University

Position

Assistant Professor

Citations(all)

1194

Citations(since 2020)

1047

Cited By

547

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Akhand Rai Skills & Research Interests

Fault diagnosis

Fault prognosis

Artificial Intelligence

Condition-based maintenance

Condition monitoring

Top articles of Akhand Rai

Title

Journal

Author(s)

Publication Date

Experimental Investigation of Optimum Source Temperature for the Adsorption Thermal Compressor Using Activated Carbon and R134a

Arabian Journal for Science and Engineering

Sasmita Patnaik

Divye N Kanawala

Krutarth S Mankar

Nitin D Banker

Akhand Rai

2024/3/6

Gear fault diagnosis based on complex network theory and error-correcting output codes: Multi class support vector machine

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Akhand Rai

Vishnu Priya Kapu

PS Balaji

Prashant Tiwari

2024/1/22

Research prospects of friction stir additive manufacturing (FSAM)

Ujjaval Modi

Akhand Rai

Shuja Ahmed

2024/1/5

Prediction of ultimate tensile strength of friction stir welding joint using deep learning-based-multilayer perceptron and long short term memory networks

Welding International

Ujjaval Modi

Shuja Ahmed

Akhand Rai

2023/7/3

Industrial fluid pipeline leak detection and localization based on a multiscale Mann-Whitney test and acoustic emission event tracking

Mechanical Systems and Signal Processing

Zahoor Ahmad

Tuan-Khai Nguyen

Akhand Rai

Jong-Myon Kim

2023/4/15

Mental Stress Detection using EEG and Recurrent Deep Learning

Abhi Patel

Dinesh Nariani

Akhand Rai

2023/1/23

An intelligent fault diagnosis framework based on piecewise aggregate approximation, statistical moments, and sparse autoencoder

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Akash Prasad

Chirag Dantreliya

Mayank Chande

Vedant Chauhan

Akhand Rai

2023/8

Maximal overlap discrete wavelet packet transforms and variants of neutrosophic cubic cross-entropy-based identification of rotor defects

Measurement

CP Gandhi

Jiawei Xiang

Anil Kumar

Govind Vashishtha

Ravi Kant

2022/8/15

A novel framework for centrifugal pump fault diagnosis by selecting fault characteristic coefficients of walsh transform and cosine linear discriminant analysis

IEEE Access

Zahoor Ahmad

Akhand Rai

Md Junayed Hasan

Cheol Hong Kim

Jong-Myon Kim

2021/11/2

A fault diagnosis framework for centrifugal pumps by scalogram-based imaging and deep learning

IEEE Access

Md Junayed Hasan

Akhand Rai

Zahoor Ahmad

Jongmyon Kim

2021/4/13

A novel pipeline leak detection approach independent of prior failure information

Measurement

Akhand Rai

Jong-Myon Kim

2021/1/1

A novel pipeline leak detection technique based on acoustic emission features and two-sample kolmogorov–smirnov test

Sensors

Akhand Rai

Zahoor Ahmad

Md Junayed Hasan

Jong-Myon Kim

2021/12/10

A novel health indicator based on information theory features for assessing rotating machinery performance degradation

IEEE Transactions on Instrumentation and Measurement

Akhand Rai

Jong-Myon Kim

2020/3/20

A novel health indicator based on the Lyapunov exponent, a probabilistic self-organizing map, and the Gini-Simpson index for calculating the RUL of bearings

Measurement

Akhand Rai

Jong-Myon Kim

2020/11/1

Performance degradation assessment of concrete beams based on acoustic emission burst features and Mahalanobis—Taguchi system

Sensors

Md Arafat Habib

Akhand Rai

Jong-Myon Kim

2020/6/16

See List of Professors in Akhand Rai University(Ahmedabad University)