Behrad Bagheri

Behrad Bagheri
Meta

PhD Student

About

30
Publications
147,326
Reads
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5,853
Citations
Additional affiliations
February 2016 - present
DC Water
Position
  • Data Analysis Intern
January 2015 - June 2015
Goodyear
Position
  • Data Analysis Intern
August 2012 - present
University of Cincinnati
Position
  • Research Assistant
Education
August 2012 - August 2016
University of Cincinnati
Field of study
  • Mechanical Engineering

Publications

Publications (30)
Article
Full-text available
Cyber manufacturing is transformative concept that involves the translation of data from interconnected systems into predictive and prescriptive operations to achieve resilient performance. It intertwines industrial big data and smart analytics to discover and comprehend invisible issues for decision making. With the advent of Internet-of-Things (I...
Article
Full-text available
Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space. Moreover, by utilizing advanced information analytics, networked mac...
Article
Full-text available
The globalization of the world’s economies is a major challenge to local industry and it is pushing the manufacturing sector to its next transformation – predictive manufacturing. In order to become more competitive, manufacturers need to embrace emerging technologies, such as advanced analytics and cyber-physical system-based approaches, to improv...
Article
Full-text available
In this paper the frequency domain vibration signals of the gearbox of MF285 tractor is used for fault classification in three class: Healthy gear, Worn tooth face and broken gear. The effect of applying statistical parameters to signals on accuracy is studied. In addition, Influence of feature selection using Improved Distance Evaluation on classi...
Article
Full-text available
Reliability has always been an important aspect in the assessment of industrial products. By development of technology, cost of time-based preventive maintenance increased thus, new approaches in maintenance such as condition-based maintenance (CBM) developed 1 . Machine condition monitoring has long been accepted as one of the most effective and c...
Article
Full-text available
Digital Twin and Cyber Physical Systems (CPS) are gaining popularity due to their significant impacts on the realization of smart manufacturing within which data and information from different systems is used to increase self-awareness, self-predict, and self-configure functionalities. Throughout the integration of digital twins with CPS, intellige...
Article
Full-text available
Data security is one of the most important concerns of manufacturing entities. Therefore, enterprises hesitate to share data with third parties for building predictive and prognostic models. In such scenario, building comprehensive models for predicting asset failures is challenging given data from a single enterprise would not include required var...
Conference Paper
Full-text available
Multimedia filtration is often the final step of advanced drinking water and wastewater treatment. Despite 20 years expected service life of the filters underdrain, they are vulnerable to failure at earlier stages causing long-term downtime of the filters. Current industrial practice does not incorporate any identification method for such failures,...
Article
Full-text available
As disruptive technologies like Industry 4.0 and Internet of Things advance at a breakneck speed, modern manufacturing is ready to embrace the systematic deployment of predictive production systems. The predictive production system is an intelligent manufacturing system where networked assets are equipped with self-awareness to predict, root cause,...
Article
Full-text available
With the rapid advancement of Information and Communication Technologies (ICT) and the integration of advanced analytics into manufacturing, products and services, many industries are facing new opportunities and at the same time challenges of maintaining their competency and market needs. Such integration, which is called Cyber-physical Systems (C...
Article
Full-text available
The recently emerged methodologies for interconnected systems such as cyber-physical systems are focused to closely monitor the information and synchronize it between the physical connected systems and cyber computational space. Depending on the physical system being monitored, the approach for designing and implementing the framework for interconn...
Conference Paper
Full-text available
Preventing catastrophic failures is the most important task of prognostics and health management approaches in industry where Remaining Useful Life (RUL) prediction plays a significant role to schedule required preventive actions. Regarding recent advances and trends in data analysis and in Big Data environment, industries with such foreseeing appr...
Conference Paper
Full-text available
Preventing catastrophic failures is the most important task of prognostics and health management approaches in industry where Remaining Useful Life (RUL) prediction plays a significant role to schedule required preventive actions. Regarding recent advances and trends in data analysis and in Big Data environment, industries with such foreseeing appr...
Conference Paper
Full-text available
Introduction: Venous thromboembolism (VTE) following total joint arthroplasty (TJA) continues to be an important and potentially fatal complication. Currently surgeons use a standard protocol for postoperative VTE prophylaxis and make little distinction between patients at different risk of VTE. The objective of this study was to develop a simple s...
Conference Paper
Full-text available
The development of robust monitoring systems for assuring the consistency and stability of multistage manufacturing processes necessitates the use of add-on sensors and advanced data collection, storage, and analysis platforms to deal with the high-dimensional data collected from machines and products in multiple stages. In many cases, such an appr...
Article
Full-text available
http://www.designworldonline.com/big-future-for-cyber-physical-manufacturing-systems/
Conference Paper
Full-text available
This paper proposes a comprehensive Prognostics and Health Management (PHM) framework for large fleets of geographically distributed assets. The objective of this research study is to optimize spare part inventory according to asset performance, ensuring efficient and consistent production and extended machine life. The concept of asset condition m...
Article
Full-text available
Advances in cyber-physical systems promise to shatter the traditional operational paradigms and business models of today’s manufacturing industry. The goal of new Industry 4.0 initiatives is to harness these new technologies to create smarter factories and new smart products in an effort to revitalize the manufacturing sector in the years ahead.
Conference Paper
Full-text available
Rapid and correct decision-making in big data environment is one of the most important challenges that companies are facing in today's business world. But regardless of this significant requirement, lack of smart analytical tools has made several aspects of industry not ready to handle big data. As more intelligence is integrated in industrial prod...
Conference Paper
Full-text available
In today's competitive business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved productivity. Many manufacturing systems are not ready to manage big data due to the lack of smart analytics tools. Germany is leading a transformation toward 4th Generation Industrial Revolution (Indus...
Conference Paper
Full-text available
The increasing demand of using automated algorithms for fault diagnosis and health assessment in current industry is undeniable. Consequently, implementing emerging technologies such as cyber physical systems, cloud computing in prognostics and health management algorithms is inevitable. Due to these improvements and the emerging Big Data environme...
Article
Full-text available
Cloud computing has brought about new service models and research opportunities in the manufacturing and service industries with advantages in ubiquitous accessibility, convenient scalability, and mobility. With the emerging industrial big data prompted by the advent of the internet of things and the wide implementation of sensor networks, the clou...
Conference Paper
Full-text available
To achieve worry-free production and prevent unexpected downtime, predictive maintenance has become a prevailing strategy, supported by prognostics and health management techniques. In this paper, a systematic data-driven approach for intelligent maintenance is discussed, as well as an embedded system architecture for fault detection and prediction...
Conference Paper
Full-text available
In present research, acoustic signals of MF285 gearbox are used for fault diagnosis of gears. Two common gears faults are used: Worn tooth face and broken tooth. Signal processing is done by discrete wavelet transform using Db4 mother wavelet. Decomposition is done in fourth level and then data mining techniques are implemented to extract several f...

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Projects

Project (1)
Archived project
Deepen the research on fleet-sourced prognostics, which overcomes several drawbacks of conventional prognostics and health management approaches, including lack of generality & reconfigurability, lack of robustness against changing regimes, and sometimes insufficient accuracy.