A5055680787- Reliability and Maintenance Optimization
- Machine Fault Diagnosis Techniques
- Quality and Safety in Healthcare
- Flexible and Reconfigurable Manufacturing Systems
- Fault Detection and Control Systems
- Manufacturing Process and Optimization
- Software Reliability and Analysis Research
- Risk and Safety Analysis
- Gear and Bearing Dynamics Analysis
- Building Energy and Comfort Optimization
- Advanced machining processes and optimization
- Service and Product Innovation
- Engineering and Test Systems
- Privacy-Preserving Technologies in Data
- Industrial Vision Systems and Defect Detection
- Welding Techniques and Residual Stresses
- Acoustic Wave Resonator Technologies
- Spectroscopy and Chemometric Analyses
- Adhesion, Friction, and Surface Interactions
- Mechanical and Optical Resonators
- Access Control and Trust
- Outsourcing and Supply Chain Management
- Quality and Supply Management
- Semantic Web and Ontologies
- Engineering Diagnostics and Reliability
Tekniker
2015-2024
Fundación Teknon
2006-2021
Research Academic Computer Technology Institute
2008
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets information technology (IT) systems are used in data-driven analytics efforts support informed business intelligence decisions. However, these results currently only isolated dispersed parts production process. At same time, full integration artificial (AI) all is lacking. In this context, goal manuscript present a...
Fault detection and diagnosis of ball bearings has always been a challenge when monitoring rotating machinery. Specifically, bearing diagnostics have seen extensive research in the field fault diagnosis. This article reviews traditional algorithms used to detect diagnose faulty heavy-duty milling machine tool spindle heads. Different kinds faults created deliberately on test head. The prediction effectiveness several methods are tested different stages development.
Purpose – The purpose of this paper is to describe a flexible architecture concept provide ubiquitous computing framework where condition‐based maintenance (CBM) data and information can be easily accessed, decisions may performed wherever required.
New trends for capital goods manufacturers push towards selling the products usage or performance rather than product itself. This evolution from traditional business models, based on sales, to new service-oriented models (BMs), has received increasingly attention both in academic and managerial community. Despite this, a limited application of service offerings been observed sector. article reports results survey carried out during T-REX project, funded by European Union under Seventh...
The paper gives a short overview of the enabling tools and technology available to maintenance engineer in manufacturing industry, relation emergence e-maintenance practices introduction mobile computing devices. An analysis main characteristics e- concepts associated challenges is provided, highlighting lack use condition-based strategies. potential using ubiquitous industrial practice then examined, followed by an original vision for adoption management solutions, which can facilitate...
The actual trend in the field of maintenance mechanical and electrical machinery, points towards implementation so-called proactive maintenance. In this framework, different parameters system are monitored so that current health state machinery can be precisely known. lubricating oil is within set to monitored. Nearly 40% total reported malfunctions heavy due failures lubrication. Among define lubricant oil, viscosity one most important. Lubricant prevents moving parts get into direct...
This article presents a methodology that provides continuous assessment of predictive maintenance (PdM) technologies with respect to specific business scenarios. The integrates existing reliability and analysis techniques standards. positive impacts may have implementing these always been in mind. A critical simulation step is also added where different strategies are simulated order obtain the optimal strategy. Monte Carlo relies on information based probability density distribution failure...
Spaces and elements in the built environment have emerged as platforms where materializations of observations actuations promise to be very profitable. The advent Internet Things (IoT) paves way address this challenge but heterogeneity represented knowledge about se artifact systems poses a real problem. Ontologies can considered part solution overcome IoT’s inherent hurdles. A wise option promoted by recent approaches is design networks complementary ontologies. However, different points...
Ball bearings are essential components of electromechanical systems, and their failures significantly affect the service lifetime these systems. For highly reliable safety-critical systems in energy aerospace sectors, early bearing fault detection quantification crucial. The vibration measurements fatigue faults, i.e., spalls, typically induced by multiple excitation mechanisms depending on size operating conditions. This data article contains datasets for faulty ball bearings, including...
Avoiding downtime is one of the major concerns manufacturing industries. In era connected industry, acquiring data has become cheaper than ever but, at same time, how to turn that into operator actionable insight not always obvious. This work proposes an approach develop a Health Index based on cross-matched created in industrial setup. For creation this usage model considers type material being cut proposed and compared with simpler Weibull distribution survival approach. addition,...
The maintenance strategies of different industrial sectors are changing and evolving continuously in search cost reduction, optimization the operational reliability, availability, resources used. aeronautical industry belongs to this group. This article presents global framework a health management system as new concept aircraft line maintenance. allows transformation traditional (preventive corrective, time based) into predictive based on prognostic techniques. focuses development module...
Fulfilling occupants' comfort whilst reducing energy consumption is still an unsolved problem in most of tertiary buildings. However, the expansion Internet Things (IoT) and Knowledge Discovery Databases (KDD) techniques lead to research this matter. In paper EEPSA (Energy Eff iciency Prediction Semantic Assistant) process presented, which leverages Web Technologies (SWT) enhance KDD for achieving efficiency buildings while maintaining levels. This guides data analyst through different...
In this paper, a Novel approach for diagnosing gearbox faults in transient speeds using the Motor Current Signature Analysis (MCSA) is introduced. and speed signals were collected from motor ramp-up under no load. For increasing signal-to-noise ratio, dual-level time synchronous averaging First, sinusoid component related to supply frequency removed signals. Then, tachometer signal used perform on residual signal. Features extracted both angle order domains clearly distinguished gear...
This paper details a new decision support that adds proactive function to the actual line aircraft maintenance turn-around-time (TAT) process, where next-flight decisions are assisted by health assessment of integrated vehicle management (IVHM) an aircraft. The ‘operational risk assessment’ concept appears extended supported on IVHM information for calculating and evaluating operational fleet operations. It creates or reshapes plans based predictions future relevant events (e.g....
Industries are increasingly paying attention to maintenance services, due the relevance that is taking as a business and profit centre within companies. Many of improvements could be obtained using new technologies strategies maximize service level reduce costs. Predictive (PdM) technologies, whether on-line or inspection, key in this change they provide supervision control over assets condition. However, it important avoid risky upgrades may have no positive effect on operations...