Applications of predictive maintenance techniques in industrial systems
Prognostic methods represent a new methodology for system maintenance which offers
significant time and cost savings. The paper offers a short overview of the available …
significant time and cost savings. The paper offers a short overview of the available …
[書籍][B] Robust digital processing of speech signals
B Kovačević, MM Milosavljevic, M Veinovic, M Marković - 2017 - Springer
This book Robust Digital Processing of Speech Signals represents a result of years of
cooperation between the Institute for Applied Mathematics and Electronics and the …
cooperation between the Institute for Applied Mathematics and Electronics and the …
Sensor fault detection and isolation in a thermal power plant steam separator
A fault detection and isolation approach, specially designed for steam separators in thermal
power plants, is presented in the paper. The first step of the proposed algorithm is to identify …
power plants, is presented in the paper. The first step of the proposed algorithm is to identify …
New algorithm for detecting power transformer faults based on M‐robust estimation of sound signals
G Đukić, A Čukarić - IET Generation, Transmission & …, 2014 - Wiley Online Library
M‐robust algorithm for detecting power transformer inner faults accompanied by an
electrical arc based on sound signal processing is presented. The electrical arc, which exists …
electrical arc based on sound signal processing is presented. The electrical arc, which exists …
Acoustic contamination detection using QQ-plot based decision scheme
S Vujnovic, A Marjanovic, Z Djurovic - Mechanical Systems and Signal …, 2019 - Elsevier
Contamination detection in acoustic signals is crucial for their applicability in industrial
surroundings and for robustification of state estimation algorithms which use them. This …
surroundings and for robustification of state estimation algorithms which use them. This …
The statistical approach for overcoming the sensor saturation effect in passive ranging
Gray level intensity distribution on thermal infrared images is estimated in this research.
General Pareto distribution describes grey level distribution better than other considered …
General Pareto distribution describes grey level distribution better than other considered …
Fault diagnosis for steam separators based on parameter identification and CUSUM classification
P Tadić, Ž Đurović, B Kovačević… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
A method for diagnosing faults in steam separators is presented. Faults in the water level,
water flow and steam flow sensors are analyzed. Precise models of the steam separator …
water flow and steam flow sensors are analyzed. Precise models of the steam separator …
[PDF][PDF] FAULT DETECTION AND ISOLATION IN THERMAL POWER PLANT STEAM SEPARATOR
NAA Shashoa - academia.edu
Nedozvoljena devijacija najmanje jednog karakterističnog parametra ili osobine nekog
sistema od njegovog uobičajnog ponašanja se može proglasiti greškom, odnosno otkazom …
sistema od njegovog uobičajnog ponašanja se može proglasiti greškom, odnosno otkazom …
Toward acoustic noise type detection based on QQ plot statistics
S Vujnović, A Marjanović, Ž Đurović… - Facta Universitatis …, 2017 - casopisi.junis.ni.ac.rs
Fault detection and state estimation using acoustic signals is a procedure highly affected by
ambient noise. This is particularly pronounced in an industrial environment where noise …
ambient noise. This is particularly pronounced in an industrial environment where noise …
Fault detection based on two-stage recursive least squares parameter estimation
This paper proposes a two-stage recursive least squares algorithm for output error models.
systems are considered multiple-input single-output, which is represented by autoregressive …
systems are considered multiple-input single-output, which is represented by autoregressive …