Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Dragutin Lisjak"'
Autor:
Andrej Razumić, Biserka Runje, Dragutin Lisjak, Davor Kolar, Amalija Horvatić Novak, Branko Štrbac, Borislav Savković
Publikováno v:
Tehnički Glasnik, Vol 18, Iss 2, Pp 209-214 (2024)
The atomic force microscope (AFM) enables the measurement of sample surfaces at the nanoscale. Reference standards with calibration gratings are used for the adjustment and verification of AFM measurement devices. Thus far, there are no guidelines or
Externí odkaz:
https://doaj.org/article/4827e24c829c4298b2346710f09e56c4
Publikováno v:
Tehnički Glasnik, Vol 17, Iss 2, Pp 279-285 (2023)
Rotating parts can be found in almost all operational equipment in the industry and are of great importance for proper operation. However, reliability theory explains that every industrial system can change its state when failure happens. Predictive
Externí odkaz:
https://doaj.org/article/d861b031ea6a47efad01bd1bb0d14c8c
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 3, Pp 715-723 (2023)
This paper presents a method for the estimation of key parameters of limit cycle oscillations (amplitude and frequency) during a relay experiment used for automatic tuning of proportional-integral (PI) and proportional-integral-derivative (PID) feedb
Externí odkaz:
https://doaj.org/article/7ac0804638a24f30a9dc5c0e3ca4ca31
Publikováno v:
Results in Engineering, Vol 18, Iss , Pp 101178- (2023)
This paper investigates the energy efficiency of a Direct Driven Hydraulic (DDH) system and a proportional electrohydraulic system. A detailed analysis of their energy efficiency is carried out based on experimental results obtained in laboratory con
Externí odkaz:
https://doaj.org/article/e345c8ed1dc24dbda29130bbb6b41576
Publikováno v:
Tehnički Glasnik, Vol 16, Iss 3, Pp 343-352 (2022)
Modern maintenance strategies, such as predictive and prescriptive maintenance, which derived from the concept of Industry and Maintenance 4.0, involve the application of the Industrial Internet of Things (IIoT) to connect maintenance objects enablin
Externí odkaz:
https://doaj.org/article/675c401e068945de87897e0445ef8265
Publikováno v:
Machines, Vol 11, Iss 7, p 739 (2023)
The reliable operation of a process plant is critical to the safety, performance, and profitability of a business. Failure Mode and Effects Analysis (FMEA) is a process of reviewing systems, subsystems, and equipment that identify potential failure m
Externí odkaz:
https://doaj.org/article/5e2a9543e24b4612a4ed58451d78cf1f
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8187 (2023)
Conformity assessment refers to activities undertaken to check whether some product, service or process meets certain criteria and specifications given by internationally accepted standards. The decision on whether a property of interest is aligned w
Externí odkaz:
https://doaj.org/article/2e5066ab09c7424da33f9e8348c2df75
Publikováno v:
Tehnički Glasnik, Vol 15, Iss 3, Pp 401-409 (2021)
Maintenance 4.0 is a concept that involves the use of IIoT (Industrial Internet of Things) technology to connect maintenance objects, which enables remote data collection, information exchange, analysis and potential improvement in productivity and e
Externí odkaz:
https://doaj.org/article/11cf5ba797ea43bcb570edbbdb79fd10
Autor:
Jelena Ivančan, Dragutin Lisjak
Publikováno v:
Machines, Vol 9, Iss 11, p 292 (2021)
Process equipment and plant maintenance problems are complex in the oil refinery business, since effective maintenance needs to ensure the reliability and availability of the plant. Failure Mode and Effects Analysis (FMEA) is a risk assessment tool t
Externí odkaz:
https://doaj.org/article/39e5994e4fa24006b2d564f835113d33
Publikováno v:
Coatings; Volume 13; Issue 7; Pages: 1180
One of the major disadvantages of Ti alloys is their poor wear resistance. To increase their wear resistance, before applying a wear-resistant layer, the surface of the substrate should be carefully prepared to ensure the required coating adhesion. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3c15fde0c1d1024d96d05898b47c4927