Andrea Bonci | Università Politecnica delle Marche, Italy (original) (raw)
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Papers by Andrea Bonci
Zenodo (CERN European Organization for Nuclear Research), Oct 13, 2022
IFAC Proceedings Volumes, Sep 1, 1998
Sensors
Many “Industry 4.0” applications rely on data-driven methodologies such as Machine Learning and D... more Many “Industry 4.0” applications rely on data-driven methodologies such as Machine Learning and Deep Learning to enable automatic tasks and implement smart factories. Among these applications, the automatic quality control of manufacturing materials is of utmost importance to achieve precision and standardization in production. In this regard, most of the related literature focused on combining Deep Learning with Nondestructive Testing techniques, such as Infrared Thermography, requiring dedicated settings to detect and classify defects in composite materials. Instead, the research described in this paper aims at understanding whether deep neural networks and transfer learning can be applied to plain images to classify surface defects in carbon look components made with Carbon Fiber Reinforced Polymers used in the automotive sector. To this end, we collected a database of images from a real case study, with 400 images to test binary classification (defect vs. no defect) and 1500 for...
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
IEEE Conference Proceedings, 2016
2007 European Control Conference (ECC), 2007
The problem of estimating the largest possible component of the state of a parameter dependent li... more The problem of estimating the largest possible component of the state of a parameter dependent linear system in presence of unknown inputs is considered. Using a geometric approach and suitable defined invariant subspaces, that capture the concept of robustness with respect to parameter variation, a procedure for detecting the largest component of the state that may possibly be estimated together with a construction of the observer system and a technique for analyzing its asymptotic behavior is provided.
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 2021
The field of Permanent Magnet Synchronous Motors (PMSMs) diagnosis is of research interest becaus... more The field of Permanent Magnet Synchronous Motors (PMSMs) diagnosis is of research interest because widely used both in the Industrial environment and in electric vehicles. Amongst various Fault Detection (FD) techniques, the Motor Current Signature Analysis (MCSA) received lots of attention because some defecting frequencies may be monitored through the motor currents in case of steady-state functioning. This latter assumption is not always fulfilled, such e.g. in robotic systems driven by PMSMs, where constant speed assumption is unrealistic in most of the cases. Furthermore, MCSA in not suitable for systems working under non-stationary conditions without using advanced processing techniques. This work investigates the use of load torque information for motor diagnostic purposes under not constant speed assumption. Simulations and experimental results are presented regarding the use of the proposed Motor Torque Analysis (MTA) to overcome these limits.
The Evolving Scholar - BMD 2023, 5th Edition
The proposed paper aims to introduce the vertical dynamics in an All-Wheel-Drive motorcycle throu... more The proposed paper aims to introduce the vertical dynamics in an All-Wheel-Drive motorcycle through a front and a rear suspension, modelled with two different spring-damper systems. The motorcycle model has been described with two rigid bodies and ten degrees of freedom.
Procedia Computer Science
IFAC Proceedings Volumes, 2000
Lecture notes in mechanical engineering, 2022
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Applied Sciences
The Condition Monitoring (CM) of industrial collaborative robots (cobots) has the potential to de... more The Condition Monitoring (CM) of industrial collaborative robots (cobots) has the potential to decrease downtimes in highly automated production systems. However, in such complex systems, defining a strategy for effective CM and automatically detecting failures is not straightforward. In this paper, common issues related to the application of CM to collaborative manipulators are first introduced, discussed, and then, a solution based on the Robot Operating System (ROS) is proposed. The content of this document is highly oriented towards applied research and the novelty of this work mainly lies in the proposed CM architecture, while the methodology chosen to assess the manipulator’s health is based on previous research content. The CM architecture developed and the relative strategy used to process data are useful for the definition of algorithms for the automatic detection of failures. The approach is based on data labeling and indexing and aims to extract comparable data units to e...
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Infrastructure systems strongly influence contemporary society and increasingly our quality of li... more Infrastructure systems strongly influence contemporary society and increasingly our quality of life depends on it, but unfortunately these infrastructures are ageing and failures are becoming common. Automate maintenance procedures can be a real solution to cope with these problems but several limits have to be overcome yet. In this work, these limits are faced by proposing an alternative UAV that would bring advantages in safe inspection tasks and human-interaction, named Double Propeller Ducted-Fan. An alternative UAV’s architecture jointly with a dynamic model and a simplified linear control scheme is here proposed, by taking into account the requirements demand to further commercial development. The validity of the model and the proposed control scheme are evaluated in simulations, also taking into account real disturbances and noise from sensors. The results are encouraging in term of performances, compared with tests carried out with linear controllers in similar UAVs.
2017 International Symposium ELMAR, 2017
This system adopts spherical photographs to map coastal areas and port entrances. It is an augmen... more This system adopts spherical photographs to map coastal areas and port entrances. It is an augmented reality (AR) application to be regarded as an aid in navigation during the night and/or in foggy weather conditions. Also, the system offers unique multimedia content which will be applied in other areas, such as monitoring illegal constructions along the coasts.
Procedia Computer Science, 2022
Procedia Computer Science, 2021
Zenodo (CERN European Organization for Nuclear Research), Oct 13, 2022
IFAC Proceedings Volumes, Sep 1, 1998
Sensors
Many “Industry 4.0” applications rely on data-driven methodologies such as Machine Learning and D... more Many “Industry 4.0” applications rely on data-driven methodologies such as Machine Learning and Deep Learning to enable automatic tasks and implement smart factories. Among these applications, the automatic quality control of manufacturing materials is of utmost importance to achieve precision and standardization in production. In this regard, most of the related literature focused on combining Deep Learning with Nondestructive Testing techniques, such as Infrared Thermography, requiring dedicated settings to detect and classify defects in composite materials. Instead, the research described in this paper aims at understanding whether deep neural networks and transfer learning can be applied to plain images to classify surface defects in carbon look components made with Carbon Fiber Reinforced Polymers used in the automotive sector. To this end, we collected a database of images from a real case study, with 400 images to test binary classification (defect vs. no defect) and 1500 for...
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
IEEE Conference Proceedings, 2016
2007 European Control Conference (ECC), 2007
The problem of estimating the largest possible component of the state of a parameter dependent li... more The problem of estimating the largest possible component of the state of a parameter dependent linear system in presence of unknown inputs is considered. Using a geometric approach and suitable defined invariant subspaces, that capture the concept of robustness with respect to parameter variation, a procedure for detecting the largest component of the state that may possibly be estimated together with a construction of the observer system and a technique for analyzing its asymptotic behavior is provided.
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 2021
The field of Permanent Magnet Synchronous Motors (PMSMs) diagnosis is of research interest becaus... more The field of Permanent Magnet Synchronous Motors (PMSMs) diagnosis is of research interest because widely used both in the Industrial environment and in electric vehicles. Amongst various Fault Detection (FD) techniques, the Motor Current Signature Analysis (MCSA) received lots of attention because some defecting frequencies may be monitored through the motor currents in case of steady-state functioning. This latter assumption is not always fulfilled, such e.g. in robotic systems driven by PMSMs, where constant speed assumption is unrealistic in most of the cases. Furthermore, MCSA in not suitable for systems working under non-stationary conditions without using advanced processing techniques. This work investigates the use of load torque information for motor diagnostic purposes under not constant speed assumption. Simulations and experimental results are presented regarding the use of the proposed Motor Torque Analysis (MTA) to overcome these limits.
The Evolving Scholar - BMD 2023, 5th Edition
The proposed paper aims to introduce the vertical dynamics in an All-Wheel-Drive motorcycle throu... more The proposed paper aims to introduce the vertical dynamics in an All-Wheel-Drive motorcycle through a front and a rear suspension, modelled with two different spring-damper systems. The motorcycle model has been described with two rigid bodies and ten degrees of freedom.
Procedia Computer Science
IFAC Proceedings Volumes, 2000
Lecture notes in mechanical engineering, 2022
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Applied Sciences
The Condition Monitoring (CM) of industrial collaborative robots (cobots) has the potential to de... more The Condition Monitoring (CM) of industrial collaborative robots (cobots) has the potential to decrease downtimes in highly automated production systems. However, in such complex systems, defining a strategy for effective CM and automatically detecting failures is not straightforward. In this paper, common issues related to the application of CM to collaborative manipulators are first introduced, discussed, and then, a solution based on the Robot Operating System (ROS) is proposed. The content of this document is highly oriented towards applied research and the novelty of this work mainly lies in the proposed CM architecture, while the methodology chosen to assess the manipulator’s health is based on previous research content. The CM architecture developed and the relative strategy used to process data are useful for the definition of algorithms for the automatic detection of failures. The approach is based on data labeling and indexing and aims to extract comparable data units to e...
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Infrastructure systems strongly influence contemporary society and increasingly our quality of li... more Infrastructure systems strongly influence contemporary society and increasingly our quality of life depends on it, but unfortunately these infrastructures are ageing and failures are becoming common. Automate maintenance procedures can be a real solution to cope with these problems but several limits have to be overcome yet. In this work, these limits are faced by proposing an alternative UAV that would bring advantages in safe inspection tasks and human-interaction, named Double Propeller Ducted-Fan. An alternative UAV’s architecture jointly with a dynamic model and a simplified linear control scheme is here proposed, by taking into account the requirements demand to further commercial development. The validity of the model and the proposed control scheme are evaluated in simulations, also taking into account real disturbances and noise from sensors. The results are encouraging in term of performances, compared with tests carried out with linear controllers in similar UAVs.
2017 International Symposium ELMAR, 2017
This system adopts spherical photographs to map coastal areas and port entrances. It is an augmen... more This system adopts spherical photographs to map coastal areas and port entrances. It is an augmented reality (AR) application to be regarded as an aid in navigation during the night and/or in foggy weather conditions. Also, the system offers unique multimedia content which will be applied in other areas, such as monitoring illegal constructions along the coasts.
Procedia Computer Science, 2022
Procedia Computer Science, 2021
2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 2017
The complexity of cyber-physical systems (CPSs) poses new challenges in their design, model check... more The complexity of cyber-physical systems (CPSs) poses new challenges in their design, model checking and maintenance. The hardware and software designers are in search, more than ever, for simple and interoperable approaches that render the complexity of CPSs a treatable matter. In this work, database language is suggested as an enabling technology and a lean technique to the purpose. An example with best available embedded database technology is conducted by means of a deployment test on tiny embedded electronics.
4th IFAC Symposium on System Structure and Control SSC 2010, Ancona, Italy, 2010
The Non Interacting Control Problem for linear parameter varying (LPV) system is investigated. Us... more The Non Interacting Control Problem for linear parameter varying (LPV) system is investigated. Using a geometric approach, the notion of robust controllability subspace is introduced and computational aspects are discussed. Solvability conditions for the Non Interacting Control Problem by state feedback for LPV systems are obtained and procedures are given to practically compute the solutions, if any.
10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications 2014, IEEE/ASME MESA 2014), Senigallia, Italy, 2014
This paper proposes a rapid prototyping framework based on open source tools for real-time soluti... more This paper proposes a rapid prototyping framework based on open source tools for real-time solution of Ordinary Differential Equations (ODE) problems on embedded microcontrollers. A plug-in software for the deployment of ODE solvers, in C language, on embedded industrial environment is proposed. By means of C portability across different microcontrollers architectures, there is the possibility to give a considerable boost in rapid prototyping of mechatronics and complex embedded system applications. Some commercial softwares feature toolsets for the autogeneration of open C code, but they do not provide the translation of the ODE solvers' routines for embedded systems. A key for open source software integration has been the adoption of an infrastructure based on a Database Management System (DBMS) on board of the embedded system.
10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications 2014, (IEEE/ASME MESA 2014), Senigallia, Italy, 2014
This paper presents a dynamic platform instrument with a virtual reality simulator used for multi... more This paper presents a dynamic platform instrument with a virtual reality simulator used for multi-discipline educational purposes. In control system theory there are a number of generic systems and methods which are used in all areas of industry and technology for educational purposes. This paper aims to explain these important systems application and methods in straightforward terms. The paper describes what makes a particular type of system/method important, how it works and then how to control it. The control are performed using models of real and unstable systems. This includes the state of the art, a description of the proposed platform, the simulation tools and the results.
POSTER SESSION, 8th IFAC Conference on Manufacturing Modelling, Management & Control (MIM 2016), Troyes, France, 2016
International Conference on Industry 4.0 and Smart Manufacturing, 2020
The RMAS (relational-model multi-agent system) architecture has been proven promising towards the... more The RMAS (relational-model multi-agent system) architecture has been proven promising towards the introduction of autonomic intelligence for industrial agents, and suitable for the enforcement of some parts of the reference model in the IEC 61499 standard, for distributed adaptive automation and control systems, namely the Resource model and the Function Block model. In this paper, the analysis is extended to the Device Management model. The RMAS is overlaid on the structures of this model in order to demonstrate that it can constitute factual and promising means for the expression of essential self-* capabilities of autonomic industrial agents. The analysis here conducted covers also some aspects of the XAI (explainable artificial intelligence), due to their relevance in industrial context. RMAS results a fundamental step for the factual introduction of AI in industrial playground, as a technology framework for the explainability, controllability, and quality of the intelligent automation solutions for industry.