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Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks

Alblawi, Adel - In: Energy reports 6 (2020), pp. 1083-1096

In the study presented in this paper, the deterioration in the performance of an industrial gas turbine during the operation design point was simulated by using the thermodynamic principle and a multi feedforward artificial neural networks (MFANN) system. Initially the thermodynamic model was...

Persistent link: https://www.econbiz.de/10012220958

BearingFM : towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning

Lai, Zou; Yang, Chen; Lan, Shulin; Wang, Lihui; Shen, … - In: International journal of production economics 275 (2024), pp. 1-10

Persistent link: https://www.econbiz.de/10015052064

A fault diagnosis method of intelligent electronic equipment based on dynamic fusion

Qian, Jun; Nie, Kaijun - In: International journal of product development : IJPD 27 (2023) 4, pp. 318-332

Persistent link: https://www.econbiz.de/10015065214

Optimisation algorithms for the charge dispatch of plug-in vehicles based on variable tariffs

Link, Jochen; Büttner, Markus; Dallinger, David; … - 2010

grid impacts of variable tariffs for electric vehicles (BEV) as well as to schedule the charging process optimisation …. Therefore a combinatorial optimisation algorithm is developed and an algorithm based on graph search is used and customised … these optimisation algorithms, like the onboard dispatcher, which is used in the German fleet test "Flottenversuch …

Persistent link: https://www.econbiz.de/10010300726

Soft-Computing Control of Ball and Beam System

Patil, Pravin P.; Kharola, Ashwani - In: International Journal of Applied Evolutionary … 9 (2018) 4, pp. 1-21

This article derives a mathematical model and compares different soft-computing techniques for control of a highly dynamic ball and beam system. The techniques which were incorporated for control of proposed system were fuzzy logic, proportional-integral-derivative (PID), adaptive neuro fuzzy...

Persistent link: https://www.econbiz.de/10012042741

Process Synthesis and the G-H Space for Analysing and Optimising Biomass Gasification

Ngubevana, Lwazi - In: International Journal of Chemoinformatics and Chemical … 7 (2018) 1, pp. 13-41

Biomass is a key source of energy to power the world's growing hunger for energy, whilst replacing fossil fuels as the fight against greenhouse gas emissions intensifies. This has led to a significant focus on not only using biomass as a source of energy, but also on the need to use it...

Persistent link: https://www.econbiz.de/10012043543

Decision Support based on Bio-PEPA Modeling and Decision Tree Induction: A New Approach, Applied to a Tuberculosis Case Study

Hamami, Dalila; Baghdad, Atmani; Shankland, Carron - In: International Journal of Information Systems in the … 9 (2017) 2, pp. 71-101

The problem of selecting determinant features generating appropriate model structure is a challenge in epidemiological modelling. Disease spread is highly complex, and experts develop their understanding of its dynamic over years. There is an increasing variety and volume of epidemiological data...

Persistent link: https://www.econbiz.de/10012045870

The Implementation of DSSim: A Multi-Agent Ontology Mapping System

Vargas-Vera, Maria - In: International Journal of Knowledge Society Research (IJKSR) 8 (2017) 3, pp. 34-53

This paper presents the decisions taken during the implementation of DSSim (DSSim stands for Similarity based on Dempster-Shafer) our multi-agent ontology mapping system. It describes several types of agents and their roles in the DSSim architecture. These agents are mapping agents which are...

Persistent link: https://www.econbiz.de/10012046321

A Novel Hybrid Firefly Bee Algorithm for Optimization Problems

Nemmich, Mohamed Amine; Debbat, Fatima; Slimane, Mohamed - In: International Journal of Organizational and Collective … 8 (2018) 4, pp. 21-46

hybrid optimisation approach, namely a Hybrid Firefly Bee Algorithm (HFBA), by using the Bees Algorithm (BA) and the Firefly …

Persistent link: https://www.econbiz.de/10012046790

Position and Tilt Control of Two-Wheeled Robot (TWR): A Neuro-Fuzzy Approach

Patil, Pravin P.; Kharola, Ashwani - In: International Journal of System Dynamics Applications … 6 (2017) 4, pp. 17-33

controllers were used for training, tuning and optimisation of an adaptive neuro fuzzy inference system(ANFIS) controller. A …

Persistent link: https://www.econbiz.de/10012047460