A5036271076- Reliability and Maintenance Optimization
- Machine Fault Diagnosis Techniques
- Energy Efficient Wireless Sensor Networks
- Metallurgy and Material Forming
- Digital Mental Health Interventions
- Laser and Thermal Forming Techniques
- Power System Reliability and Maintenance
- Metal Forming Simulation Techniques
- Infrastructure Maintenance and Monitoring
- Ionosphere and magnetosphere dynamics
- Fault Detection and Control Systems
- Advanced X-ray and CT Imaging
- Aquatic Ecosystems and Phytoplankton Dynamics
- Image and Object Detection Techniques
- GNSS positioning and interference
- Distributed Control Multi-Agent Systems
- Optical measurement and interference techniques
- Software Reliability and Analysis Research
- Algal biology and biofuel production
- Microbial Community Ecology and Physiology
- Industrial Vision Systems and Defect Detection
- Orthopedic Infections and Treatments
- Mobile Ad Hoc Networks
- Knee injuries and reconstruction techniques
- Artificial Intelligence in Healthcare and Education
KIIT University
2021
General Motors (Poland)
2019
Geological Survey of India
2019
Fraunhofer Institute for Computer Graphics Research
2018
Oakland University
2011-2012
University of Rochester
2010
Purpose The purpose of this paper is to provide a brief overview condition based maintenance (CBM) with definitions various terms, some history, recent developments, applications, and research challenges in the CBM domain. Design/methodology/approach article presents insight into strategies provides their respective merits demerits aspects. It then detailed discussion that includes applications methodologies technologies are being implemented field. Finally, it ends open implementing...
Abstract In this paper, we present the preliminary results of a new global three‐dimensional (3‐D) ionospheric model developed using artificial neural networks (ANNs) by assimilating long‐term observations from nearly two decades ground‐based Digisonde, satellite‐based topside sounders, and positioning system‐radio occultation measurements. The 3‐D is named ANN‐based (ANNIM‐3D), which extension previous work on two‐dimensional Sai Gowtam Tulasi Ram (2017a,...
In this paper, we have evaluated five prediction approaches from two disciplines for condition‐based maintenance. It also includes a case study vehicle tire pressure monitoring as an example application. Main focus of paper is on widely used areas in prediction: (i) statistics, (ii) neural networks. well known that these wide applications forecasting. Statistical and network techniques are very powerful predicting the future states based current previous system or subsystem. Application ARAR...
This paper proposes a smart channel assignment scheme (S-CAS) for wireless sensor networks. S-CAS performs statistical analysis of load pattern the individual cluster and adjusts dynamically as per requirement generated by current traffic load. It follows static schedule during infrastructure establishment based on initial conditions previous history later, it utilizes dynamic adjustments. Over period time, learning efficiency prediction increases due to availability more patterns, in turn,...
In this article, we proposed a fast, adaptive, and single frequency based TDMA MAC protocol for wireless sensor networks. is collision free fair by its definition. It has few deficiencies but that can be overcome introducing some intelligent mechanisms. The two variants: sensor-TDMA with Virtual Cluster Election (VCE). uses light-weight smart agent (LSA) as middleware. thin software sublayer of layer sitting at each node. different behavior if on the node versus cluster. LSA also controls...
This article presents an idea of achieving reliability through Industrial Internet Things (IIoT) for industrial power systems. It proposes hybrid approach predictive and corrective maintenance. discusses the self-corrective maintenance (SCM) paradigm as systems along with condition-based utilizing IIoT to achieve it. As it is well known that industries pay huge penalty down time, suffer meet demands years. Study witnesses its cost in millions dollars yearly production disruptions. can be...