A5013840363- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Gaze Tracking and Assistive Technology
- Context-Aware Activity Recognition Systems
- EEG and Brain-Computer Interfaces
- Underwater Vehicles and Communication Systems
- Target Tracking and Data Fusion in Sensor Networks
- Distributed Control Multi-Agent Systems
- Robotic Path Planning Algorithms
- Control Systems and Identification
- Robot Manipulation and Learning
- IoT-based Smart Home Systems
- Machine Fault Diagnosis Techniques
- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Advanced Control Systems Design
- Robotics and Automated Systems
- Energy Efficient Wireless Sensor Networks
- Iterative Learning Control Systems
- Anomaly Detection Techniques and Applications
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Data Processing Techniques
- IoT and Edge/Fog Computing
- Control and Dynamics of Mobile Robots
Marche Polytechnic University
2015-2024
Zimmer Biomet (United States)
2019
Ingegneria dei Trasporti (Italy)
2012
University of South Florida
2006-2007
In the literature, many applications of Digital Twin methodologies in manufacturing, construction and oil gas sectors have been proposed, but there is still no reference model specifically developed for risk control prevention. this context, work develops a order to define conceptual guidelines support implementation prediction The proposed paper made up four main layers (Process industry physical space, Communication system, User space), while steps divided into five phases (Development...
Condition-based monitoring of rotating machines requires robust features for accurate fault diagnosis, which is indeed directly linked to the quality extracted from signals. This especially true vibration data, whose quasi-stationary nature implies that frequency domain depends on signal-to-noise ratio (SNR) condition, operating condition variations, and data segmentation. paper presents a novel statistical spectral analysis, leads highly diagnosis with poor SNR conditions, different...
This paper proposes a free dataset, available at the following link,1named KIMORE, regarding different rehabilitation exercises collected by RGB-D sensor. Three data inputs including RGB, depth videos, and skeleton joint positions were recorded during five physical exercises, specific for low back pain accurately selected physicians. For each exercise, dataset also provides set of features, specifically defined physicians, relevant to describe its scope. These validated with respect...
This paper proposes an actuator fault-tolerant control scheme, composed of the usual modules performing detection, isolation, accommodation, designed for a class nonlinear systems, and then applied to underwater remotely operated vehicle (ROV) used inspection purposes. Detection is in charge residual generation module, while sliding-mode-based approach has been both ROV fault after application input decoupling state transformation model. Finally, reconfiguration performed exploiting inherent...
Both the theoretical background and experimental results of an algorithm developed to perform human respiratory rate measurements without any physical contact are presented. Based on depth image sensing techniques, is derived by measuring morphological changes chest wall. The identifies chest, computes its distance from camera compares this value with instantaneous distance, discerning if it due act or a limited movement person being monitored. To experimentally validate proposed algorithm,...
Smart homes play a strategic role for improving life quality of people, enabling to monitor people at home with numerous intelligent devices. Sensors can be installed provide continuous assistance without limiting the resident’s daily routine, giving her/him greater comfort, well-being and safety. This paper is based on development domestic technological solutions improve citizens users environment, features extracted from collected data. The proposed smart sensing architecture an integrated...
Background/Objectives: The study explores the integration of human feedback into control loop mobile robots for real-time obstacle detection and avoidance using EEG brain–computer interface (BCI) methods. goal is to assess possible paradigms applicable most current navigation system enhance safety interaction between humans robots. Methods: research passive active technologies a wheelchair-mobile robot’s navigation. In approach, error-related potentials (ErrPs), neural signals triggered when...
This paper proposes a specific domotic sensor network to measure the well-being of elderly people in private home environments through Machine Learning (ML) algorithms trained with daily surveys. The tests have been conducted 5 apartments lived by 8 older where non-obtrusive is installed. Two ML are compared, Random Forest (RF) and Regression Tree (RT), such that verify whether users' encoded behavioural patterns obtained from data. These data used compared three reference indices survey:...
Detecting stress in computer users, while technically challenging, is of the utmost importance workplace, especially now that remote working scenarios are becoming ubiquitous. In this context, cost-effective, subject-independent systems needed can be embedded consumer devices and classify users' a reliable unobtrusive fashion. Leveraging keyboard mouse dynamics particularly appealing context as it exploits readily available sensors. However, studies mostly performed laboratory conditions,...
This article presents a Fault Detection (FD) method to deal with propeller faults on multirotor drones in real-time. Several solutions have been proposed the literature, however, they depend additional sensors and/or dedicated hardware heavy computational complexity. So, cannot be implemented off-the-shelf commercial devices, i.e., without aid of on-board extra power. The method, instead, requires Inertial Measurement Unit (IMU) data only: by combining Finite Impulse Response (FIR), together...
This paper addresses the problem of actuator fault detection for a mini-quadrotor. First model four-rotor vehicle, obtained via Lagrange approach, is presented. In order to stabilize quadrotor at low cruise speed, control strategy based on nested saturation controllers Using Thau's observer, diagnostic system has been developed nonlinear quadrotor. Different simulation trials have performed and analysis results proves that represents an effective solution in mini-flying machines.
The goal of this work is to develop a smart LED lighting system for industrial and domestic use, taking into account visual comfort energy saving interior lighting. idea control the level in an efficient way, keeping desired light where it needed, while regulating minimum not required. In order achieve goal, single unit needed each lamp. way can individually level, adapting illumination according environment which installed, by means sensors, motion sensors system. Experimental results are...
Background: Human-Machine Interaction (HMI) has been an important field of research in recent years, since machines will continue to be embedded many human actvities several contexts, such as industry and healthcare. Monitoring ecological mannerthe cognitive workload (CW) users, who interact with machines, is crucial assess their level engagement activities the required effort, goal preventing stressful circumstances. This study provides a comprehensive analysis assessment CW using wearable...
This paper proposes a novel framework for Home Energy Management System based on the combination of integer programming and Reinforcement Learning (RL) achieving efficient home-based Demand Response (DR). In particular, RL is exploited to manage charge discharge Battery Storage (BESS), Mixed Integer Linear Programming load scheduling. The idea focus specifically BESS management, as its behavior stochastic mainly affected by Photovoltaic (PV) production user changes. scheduling decisions...
The goal of this work is to develop a smart light-emitting diode lighting system for industrial and domestic use with several advantages over conventional systems, namely energy saving, high reliability, visual comfort interior lighting. This achieved by integrating control module fault diagnosis prognosis within system. first controls the level in an energy-efficient way, keeping desired light where it needed while regulating minimum not required; fully exploiting fuzzy logic...
This article presents a fault diagnosis algorithm for rotating machinery based on the Wasserstein distance. Recently, distance has been proposed as new research direction to find better distribution mapping when compared with other popular statistical distances and divergences. In this work, first, frequency- time-based features are extracted by vibration signals, second, is considered learning phase discriminate different machine operating conditions. Specifically, 1-D due its low...