Št. zadetkov: 16
Izvirni znanstveni članek
Oznake:
manufacturing system;predictive model;machine-to-machine;
In most manufacturing processes the defect rate is very low. Sometimes, only a few parts per million are defective because of a faulty process. For this reason, fault diagnostics is faced with extremely imbalanced data sets and requires large volumes of data to achieve a reasonable performance. This ...
Leto:
2017
Vir:
Fakulteta za strojništvo (UL FS)
Doktorska disertacija
Oznake:
podatkovna analitika;velepodatki;konceptualni okvir;informacijska podpora;odkrivanje znanja;podatkovno rudarjenje;
Intenziven razvoj informacijskih in komunikacijskih tehnologij, ki smo mu priča v zadnjih letih, povzroča na področju proizvodnje nastajanje velikih količin podatkov. Pojavljajo pa se tudi novi pristopi, metode, tehnike in orodja za napredno podatkovno analitiko, kar ponuja nove možnosti za uporabo ...
Leto:
2019
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
cyber-physical production systems;production planning;control;multi-agent systems;self-organization;
Cyber-physical systems (CPSs) open up new perspectives for the design, development, implementation, and operation of manufacturing systems and will enable a paradigm shift in manufacturing. The objective of this research is to develop a new concept of cyber-physical production systems (CPPSs) and, o ...
Leto:
2020
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
logistics;machine learning;distributed control;
Autonomous mobile robots (AMRs) are increasingly being used to enable efficient material flow in dynamic production environments. Dispatching transport orders in such environments is difficult due to the complexity arising from the rapid changes in the environment as well as due to a tight coupling ...
Leto:
2020
Vir:
Fakulteta za strojništvo (UL FS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
napovedno vzdrževanje;preostala uporabna doba;vzpodbujevalno učenje;predictive maintainance;remaining useful life;reinforcement learning;
Effective tracking of degradation in machine tools or vehicle, ship, and aircraft engines is key to ensure their high utilization, effective maintenance, and safety. Data from the built-in sensors can be used to build models that accurately predict the remaining useful life (RUL) of the observed sys ...
Leto:
2020
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
intralogistika;avtonomni mobilni roboti;spodbujevalno učenje;intralogistics;autonomous mobile robots;multi-robot cooperation;reinforcement learning;route planning;
Autonomous mobile robots (AMRs) are increasingly used in modern intralogistics systems as complexity and performance requirements become more stringent. One way to increase performance is to improve the operation and cooperation of multiple robots in their shared environment. The paper addresses the ...
Leto:
2021
Vir:
Fakulteta za strojništvo (UL FS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
diagnosticiranje napak;velepodatki;brizganje plastike;fault diagnostics;Big Data;plastic injection moulding;
The complexity of manufacturing systems is increasing due to the increased requirements related to the variety and quality of the products, their complexity, and due to the general technological developments. In turn, the data related to the manufacturing processes is growing in size and in complexi ...
Leto:
2017
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
proizvodnja;mreže;analiza mrež;analitika podatkov;profiliranje kompetenc;production;network;network analysis;data analytics;skill profiling;
People, companies, and institutions form networks as part of their technical, economic, and social activities. As a consequence, these networks have an influence on how companies conduct business. Recently, the Internet, professional, and scientific social networks have contributed to the ease and s ...
Leto:
2018
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
production process;fault identification;root cause analysis;decision support;big data;
The intensive development of information and communication technologies in recent years has led to an increase in data size and complexity. Conventional approaches, with associated methods of analysis based on descriptive and inductive statistics, may no longer be suitable for extracting the valuabl ...
Leto:
2017
Vir:
Fakulteta za strojništvo (UL FS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
posamična proizvodnja;management operacij;analitika podatkov;industrijski podatki;podatkovno rudarjenje;velepodatki;engineer-to-order manufacturing;operations management;data analytics;industrial data;data mining;big data;
Manufacturing data offers big potential for improving management of manufacturing operations. The paper addresses an approach to data analytics in engineer-to-order (ETO) manufacturing systems where the product quality and due-date reliability play a key role in management decisionmaking. The object ...
Leto:
2018
Vir:
Fakulteta za strojništvo (UL FS)