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1. Novel design of compound coupled hydro-mechanical transmission on heavy-duty vehicle for energy recycling

Author:
Jin Yu; Yurun Song; Huasen Zhang; Xiaohan Dong
Source:
Energy 2022 v.239 pp. 122291
ISSN:
0360-5442
Subject:
transmission systems,   etc   ; batteries; energy; torque;     Show all 4 Subjects
Abstract:
... How to efficiently transmit power and reuse/recover energy has been the subjects of heated discussion in the high-power transmission field. Regarding heavy-duty vehicles, they used to be equipped with a gearbox as a typical type of high-power transmission to deliver power to the wheel. However, a gearbox transmission has quite complex mechanical structure for realizing a large speed-regulating ran ...
DOI:
10.1016/j.energy.2021.122291

2. Improved adversarial learning for fault feature generation of wind turbine gearbox

Author:
Zhen Guo; Ziqiang Pu; Wenliao Du; Hongcao Wang; Chuan Li
Source:
Renewable energy 2022 v.185 pp. 255-266
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; wavelet; wind; wind turbines;     Show all 4 Subjects
Abstract:
... Sufficient samples collected from different conditions can effectively improve fault diagnosis performance for wind turbine gearboxes. However, it is very difficult and time-consuming to obtain enough data under fault conditions rather than the normal condition for real wind turbines. For this reason, an improved adversarial learning is proposed to generate fault features for the fault diagnosis o ...
DOI:
10.1016/j.renene.2021.12.054

3. A Fault Diagnosis Method for a Differential Inverse Gearbox of a Crawler Combine Harvester Based on Order Analysis

Author:
Yaoming Li; Yanbin Liu; Kuizhou Ji; Ruiheng Zhu
Source:
Agriculture (Basel) 2022 v.12 no.9 pp. -
ISSN:
2077-0472
Subject:
transmission systems,   etc   ; agriculture; combine harvesters; durability;     Show all 4 Subjects
Abstract:
... The single HST (Hydro Static Transmission) mechanical differential transmission gearbox of crawler combine harvester is subjected to the impact of alternating loads in the field operation, resulting in its fatigue failure. The traditional durability fatigue test can improve the fault-free working time of machinery, but it is not suitable for agricultural machinery with time-varying load frequency ...
DOI:
10.3390/agriculture12091300

4. A de-ambiguous condition monitoring scheme for wind turbines using least squares generative adversarial networks

Author:
Anqi Wang; Zheng Qian; Yan Pei; Bo Jing
Source:
Renewable energy 2022 v.185 pp. 267-279
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; data collection; wind; wind turbines; China;     Show all 5 Subjects
Abstract:
... Wind turbine condition monitoring (WTCM) plays an important role in reducing operation & maintenance (O&M) cost and improving the reliability of wind farms. Supervisory control and data acquisition (SCADA) data have advantages such as easy access and strong timeliness and are used widely for WTCM. However, it is difficult to distinguish and label historical SCADA data as healthy or faulty accurate ...
DOI:
10.1016/j.renene.2021.12.049

5. Condition monitoring of wind turbine based on incremental learning and multivariate state estimation technique

Author:
Ziqi Wang; Changliang Liu; Feng Yan
Source:
Renewable energy 2022 v.184 pp. 343-360
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; data collection; memory; models; wind turbines;     Show all 5 Subjects
Abstract:
... With the development of wind turbine (WT) operation and maintenance technologies, the condition monitoring (CM) method based on the data of supervisory control and data acquisition (SCADA) systems has become one of the most popular and cheapest ways to detect the anomalies. As the operation condition of WT will change over time, it is necessary to real-time update the CM model with little manual m ...
DOI:
10.1016/j.renene.2021.11.071

6. A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines

Author:
Yueqi Wu; Xiandong Ma
Source:
Renewable energy 2022 v.181 pp. 554-566
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; artificial intelligence; hybrids; neural networks; wind;     Show all 5 Subjects
Abstract:
... With the increasing installation of the wind turbines both onshore and offshore, condition monitoring technologies and systems have become increasingly important in order to reduce the downtime and operations and maintenance (O&M) cost, thus maximising economic benefits. This paper presents a novel machine learning model-based data-driven approach to accurately evaluate the performance of the turb ...
DOI:
10.1016/j.renene.2021.09.067

7. Operational state assessment of wind turbine gearbox based on long short-term memory networks and fuzzy synthesis

Author:
Yongchao Zhu; Caichao Zhu; Jianjun Tan; Yili Wang; Jianquan Tao
Source:
Renewable energy 2022 v.181 pp. 1167-1176
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; data collection; neural networks; prediction; wind turbines;     Show all 5 Subjects
Abstract:
... To reduce the operation & maintenance cost of the wind turbine and improve its reliability, we propose a novel combined method for real-time operational state prediction, based on the long short-term memory and fuzzy synthetic assessment. After analyzing and filtering the monitoring data of a 2-MW wind turbine gearbox (WTG), we propose a deep learning-based multi-index operational state assessment ...
DOI:
10.1016/j.renene.2021.09.070

8. Condition monitoring and fault diagnosis of wind turbines based on structural break detection in SCADA data

Author:
Phong B. Dao
Source:
Renewable energy 2022 v.185 pp. 641-654
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; models; probability; regression analysis; temperature; wind; wind turbines;     Show all 7 Subjects
Abstract:
... This paper presents a new approach – based on structural break detection in SCADA data – for condition monitoring and fault diagnosis of wind turbines. Chow test – a commonly used testing method for structural breaks in economic and financial data – has been adapted for this purpose. A five-step Chow's test-based computation procedure is proposed. The method is applied for condition monitoring of ...
DOI:
10.1016/j.renene.2021.12.051

9. A modeling and simulation method for preliminary design of an electro-variable displacement pump

Author:
Han Xu; Zhang Peng; Minav Tatiana; Fu Yongling; Fu Jian
Source:
Journal of visualized experiments 2022 no.184 pp. e63593
ISSN:
1940-087X
Subject:
transmission systems,   etc   ; electronics; magnetic materials; mechatronics; models; prices; prototypes; temperature;     Show all 8 Subjects
Abstract:
... Electro-hydrostatic actuators (EHAs) have been considerably researched in academia, and their applications in various industrial fields are expanding. The variable-speed EHA has now taken priority over the variable-displacement EHA, but its driving motor and associated electronics encounter issues when applied in high-power applications: low-dynamics, high thermal dissipation, high price, etc. The ...
DOI:
10.3791/63593

10. Optimal drivetrain design methodology for enhancing dynamic and energy performances of dual-motor electric vehicles

Author:
Chi T.P. Nguyen; Bảo-Huy Nguyễn; João Pedro F. Trovão; Minh C. Ta
Source:
Energy conversion and management 2022 v.252 pp. 115054
ISSN:
0196-8904
Subject:
transmission systems,   etc   ; administrative management; algorithms; energy efficiency; four-wheel drive; models; transportation;     Show all 7 Subjects
Abstract:
... Electric vehicles (EVs) are a dominant transportation trend towards a low-carbon future. However, there is a lack of systematic studies for full-electric off-road vehicles in terms of drivetrain design and energy management issues. This paper proposes a novel methodology to develop a drivetrain system for a four-wheel-drive (4WD) dual-motor off-road EV. The obtained design delivers high performanc ...
DOI:
10.1016/j.enconman.2021.115054

11. Fault diagnosis of tractor auxiliary gearbox using vibration analysis and random forest classifier

Author:
Mohammad Hosseinpour-Zarnaq; Mahmoud Omid; Ebrahim Biabani-Aghdam
Source:
Information processing in agriculture 2022 v.9 no.1 pp. 60-67
ISSN:
2214-3173
Subject:
transmission systems,   etc   ; agriculture; animal injuries; information; neural networks; probability; tractors; vibration; wavelet;     Show all 9 Subjects
Abstract:
... Accurate detection of mechanical components faults is an essential step for reduction of repair cost, human injury probability and loss of production. Using intelligent fault diagnosis systems in tractor could prevent secondary damage, thereby avoiding heavy consequences. In this study, fault diagnosis of tractor auxiliary gearbox is presented. Vibration signals of healthy and faulty pinions gear ...
DOI:
10.1016/j.inpa.2021.01.002

12. Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning

Author:
Yongchao Zhu; Caichao Zhu; Jianjun Tan; Yong Tan; Lei Rao
Source:
Renewable energy 2022 v.189 pp. 90-103
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; neural networks; prediction; statistical analysis; wind; wind farms; wind turbines; China;     Show all 8 Subjects
Abstract:
... To take full advantage of the limited monitoring data with fault information for operational state prediction in the case of the discrepancy in data distribution between the WTGs, a novel combined method is proposed based on the long short-term memory, fuzzy synthesis and feature-based transfer learning. After the statistical analysis and prediction of the monitoring indexes of two 2-MW WTGs with ...
DOI:
10.1016/j.renene.2022.02.061

13. Wind turbine performance degradation monitoring using DPGMM and Mahalanobis distance

Author:
Peng Guo; Yu Gan; David Infield
Source:
Renewable energy 2022 v.200 pp. 1-9
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; economics; models; oils; renewable energy sources; temperature; wind speed; wind turbines;     Show all 8 Subjects
Abstract:
... Real-time monitoring of wind turbine performance degradation can improve the economics and safety of wind farms. Normal operational data can accurately reflect the generation performance of a wind turbine and in the wind-speed coordinate system these normal data constitute the “main power band”. This paper invokes a Dirichlet Process Gaussian Mixture Model (DPGMM) to cluster operational data in ea ...
DOI:
10.1016/j.renene.2022.09.115

14. Integration of raw materials indicators of energy technologies into energy system models

Author:
Laura Talens Peiró; Nick Martin; Gara Villalba Méndez; Cristina Madrid-López
Source:
Applied energy 2022 v.307 pp. 118150
ISSN:
0306-2619
Subject:
transmission systems,   etc   ; cadmium; energy; issues and policy; metabolism; raw materials; risk; solar energy; wind;     Show all 9 Subjects
Abstract:
... Raw materials and their related environmental impacts will play a key role in the implementation of renewable energy infrastructures for decarbonization. Despite the growing amount of data quantifying raw materials for energy production technologies, few examples of these data sources are being included in current energy system models. Accordingly, this paper introduces possible pathways for integ ...
DOI:
10.1016/j.apenergy.2021.118150

15. A bidirectional and low-frequency energy harvester for collecting human crowd energy in shopping malls

Author:
Limin Ren; Yu Luo; Guangpeng Lu; Moyue Cong; Xinyu Wang; Kuankuan Wang; Zhanchen Guo; Yisong Tan
Source:
Energy conversion and management 2022 v.252 pp. 115046
ISSN:
0196-8904
Subject:
transmission systems,   etc   ; administrative management; electric potential difference; electricity; energy conversion; humans; kinetic energy; prototypes;     Show all 8 Subjects
Abstract:
... Human crowd kinetic energy is a promising electricity source in shopping malls. Harvesting human crowd energy can supply considerable power for lighting and door control. In this study, a bidirectional low-frequency energy harvester was proposed, analysed, fabricated, and tested. The harvester was mainly composed of a hinge, four one-way bearings, one sun gear, one internal gear, one planetary gea ...
DOI:
10.1016/j.enconman.2021.115046

16. Wind farm predictive maintenance considering component level repairs and economic dependency

Author:
Zhigang Tian; Han Zhang
Source:
Renewable energy 2022 v.192 pp. 495-506
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; cost analysis; farms; issues and policy; mechanical drives; models; wind farms; wind turbines;     Show all 8 Subjects
Abstract:
... Existing studies on wind farm predictive maintenance mostly incorporated repairs on the level of wind turbine (WT) subassemblies, e.g. drive train, gearbox and generator, including major repairs and minor repairs. The economic dependency among subassemblies was also considered. But assumptions needed to be made on major and minor repairs regarding their costs and impact on system functions. Beside ...
DOI:
10.1016/j.renene.2022.04.060

17. Vehicle drivetrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle

Author:
Matheus H.R. Miranda; Fabrício L. Silva; Maria A.M. Lourenço; Jony J. Eckert; Ludmila C.A. Silva
Source:
Energy 2022 v.257 pp. 124769
ISSN:
0360-5442
Subject:
transmission systems,   etc   ; algorithms; batteries; electric motors; electric potential difference; energy use and consumption; pollutants; torque; vehicles (equipment);     Show all 9 Subjects
Abstract:
... The plug-in hybrid electric vehicle (PHEV) stands out among hybrid vehicles due to the ability to recharge the battery from an external source and improve vehicle performance and efficiency by increasing fuel economy and reducing emissions. Due to the use of two power sources, a power management strategy must be determined to ensure the operation of both systems achieves higher global efficiency. ...
DOI:
10.1016/j.energy.2022.124769

18. A deep boosted transfer learning method for wind turbine gearbox fault detection

Author:
Faras Jamil; Timothy Verstraeten; Ann Nowé; Cédric Peeters; Jan Helsen
Source:
Renewable energy 2022 v.197 pp. 331-341
ISSN:
0960-1481
Subject:
transmission systems,   etc   ; data collection; models; prediction; wind farms; wind turbines;     Show all 6 Subjects
Abstract:
... Deep learning methods have become popular among researchers in the field of fault detection. However, their performance depends on the availability of big datasets. To overcome this problem researchers started applying transfer learning to achieve good performance from small available datasets, by leveraging multiple prediction models over similar machines and working conditions. However, the infl ...
DOI:
10.1016/j.renene.2022.07.117

19. Optimal design for improving operation performance of electric construction machinery collaborative system: Method and application

Author:
Xiaohui Huang; Qi Huang; Huajun Cao; Wanbin Yan; Le Cao; Qiongzhi Zhang
Source:
Energy 2022 pp. 125629
ISSN:
0360-5442
Subject:
transmission systems,   etc   ; algorithms; batteries; carbon; energy; operating costs; transportation industry;     Show all 7 Subjects
Abstract:
... Electrification of construction machinery is an important measure to reduce carbon emissions from the transportation industry, and collaborative work is an essential feature of construction machinery. Current research on vehicle mechanical component optimization lacks consideration of the collaborative system's overall performance and a unified standard for optimizing component selection. So, it i ...
DOI:
10.1016/j.energy.2022.125629

20. A novel electromagnetic energy harvester based on the bending of the sole

Author:
Suo Wang; Gang Miao; Shengxi Zhou; Zhichun Yang; Daniil Yurchenko
Source:
Applied energy 2022 v.314 pp. 119000
ISSN:
0306-2619
Subject:
transmission systems,   etc   ; electric potential difference; electric power; gait; humans; propellers; prototypes;     Show all 7 Subjects
Abstract:
... Converting mechanical energy into electrical energy during human walking can power the portable electronic devices applied in navigation, gait monitoring, and biofeedback, etc. This paper presents a novel electromagnetic energy harvester based on the bending of the sole to provide electric energy to portable sensors and small devices. The harvester mainly consists of a four-bar linkage, a one-way ...
DOI:
10.1016/j.apenergy.2022.119000