scholarly journals Gear test rig for health monitoring and quasi static- and dynamic testing; design, construction and first results

2014 ◽  
pp. 976-985
Author(s):  
F.L.J. van der Linden
Keyword(s):  
Health Monitoring ◽  
Dynamic Testing ◽  
Test Rig ◽  
First Results ◽  
Testing Design ◽  
Design Construction

Wind Turbine Blade Damage Detection Using Various Machine Learning Algorithms

2016 ◽  
Author(s):  
Taylor Regan ◽  
Rukiye Canturk ◽  
Elizabeth Slavkovsky ◽  
Christopher Niezrecki ◽  
Murat Inalpolat
Keyword(s):  
Machine Learning ◽  
Damage Detection ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Turbine Blades ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Test Rig ◽  
Wind Turbine Blades ◽  
Baseline Characteristics

Wind turbine blades undergo high operational loads, experience variable environmental conditions, and are susceptible to failures due to defects, fatigue, and weather induced damage. These large-scale composite structures are essentially enclosed acoustic cavities and currently have limited, if any, structural health monitoring in practice. A novel acoustics-based structural sensing and health monitoring technique is developed, requiring efficient algorithms for operational damage detection of cavity structures. This paper describes a systematic approach used in the identification of a competent machine learning algorithm as well as a set of statistical features for acoustics-based damage detection of enclosed cavities, such as wind turbine blades. Logistic regression (LR) and support vector machine (SVM) methods are identified and used with optimal feature selection for decision making using binary classification. A laboratory-scale wind turbine with hollow composite blades was built for damage detection studies. This test rig allows for testing of stationary or rotating blades (each fit with an internally located speaker and microphone), of which time and frequency domain information can be collected to establish baseline characteristics. The test rig can then be used to observe any deviations from the baseline characteristics. An external microphone attached to the tower will also be utilized to monitor blade damage while blades are internally ensonified by wireless speakers. An initial test campaign with healthy and damaged blade specimens is carried out to arrive at certain conclusions on the detectability and feature extraction capabilities required for damage detection.

scholarly journals Two-dimensional lubrication analysis and design optimization of a Scotch Yoke engine linear bearing

2006 ◽  
Vol 220 (10) ◽  
pp. 1575-1587 ◽  
Author(s):  
X Wang ◽  
A Subic ◽  
H Watson
Keyword(s):  
Dynamic Testing ◽  
Combustion Engine ◽  
Design Sensitivity ◽  
Two Dimensional ◽  
Test Rig ◽  
Analysis And Design ◽  
Lubricant Flow ◽  
Bearing Assembly ◽  
Bearing Design ◽  
Scotch Yoke Mechanism

Recent study has shown that the application of a Scotch Yoke crank mechanism to a reciprocating internal combustion engine reduces the engine's size and weight and generates sinusoidal piston motion that allows for complete balance of the engine. This paper describes detailed investigation of the performance of a linear bearing assembly, which is one of the key components of the Scotch Yoke mechanism. The investigation starts by solving Reynolds equation for the Scotch Yoke linear bearing. The two-dimensional lubricant flow is numerically simulated and the calculated results are compared with experimental results from a linear bearing test rig. The performance characteristics and a design sensitivity analysis of the bearing are presented. Dynamic testing and analysis of an instrumented linear bearing on a test rig are used to validate the numerical simulation model. The oil supply and lubrication mechanism in the linear bearing are analysed and described in detail. This work aims to provide new insights into Scotch Yoke linear bearing design. In addition, strategies for optimization of the linear bearing are discussed.

scholarly journals Flexible distillation test rig on a laboratory scale for characterization of additively manufactured packings

2021 ◽  
Author(s):  
Johannes Neukäufer ◽  
Nadin Sarajlic ◽  
Harald Klein ◽  
Sebastian Rehfeldt ◽  
Heiko Hallmann ◽  
...  
Keyword(s):  
Process Development ◽  
Separation Efficiency ◽  
Packed Column ◽  
Laboratory Scale ◽  
Test Rig ◽  
Laboratory Equipment ◽  
Column Wall ◽  
First Results ◽  
3D Printed ◽  
Scale Test

Additive manufacturing is increasingly being used to develop innovative packings for absorption and desorption columns. Since distillation has not been in focus so far, this paper aims to fill this gap. The objective is to obtain a miniaturized 3D printed packed column with optimized properties in terms of scalability and reproducibility, which increases process development efficiency. For this purpose, a flexible laboratory scale test rig is presented combining standard laboratory equipment with 3D printed components such as innovative multifunctional trays or the column wall with packing. The test rig offers a particularly wide operating range (F=0.15 Pa…1.0 Pa) for column diameters between 20 mm and 50 mm. First results regarding the time to reach steady-state, operational stability and separation efficiency measurements are presented using a 3D printable version of the Rombopak 9M. Currently, innovative packings are being characterized, which should exhibit a optimized bevavior regarding scalability, reproducibility and separation efficiency.

scholarly journals High strain dynamic testing of driven piles during the construction of the bridge across the Kerch Strait

2019 ◽  
Vol 265 ◽  
pp. 05007
Author(s):  
Ilia Glushkov
Keyword(s):  
Building Materials ◽  
Dynamic Testing ◽  
Driven Piles ◽  
Educational Design ◽  
Kerch Strait ◽  
Construction Organizations ◽  
Social And Economic Development ◽  
The Crimea ◽  
Technical Issues ◽  
Design Construction

In accordance with the Russian Federal Target Program of Social and Economic Development of the Crimea and Sevastopol, a bridge across the Kerch Strait is being built now. Of course, such complex structures are significant for Russia. Solving technical issues at different stages of engineering investigations, design, construction and operation of such objects it is required to attract specialists from scientific, educational, design, construction organizations, and manufacturers of building materials, structures and equipment from different countries. Before the implementation of this project, more than 70 different variations of the construction of the transport crossing were considered. These are combinations of bridges (cable, arched, girder, combined, etc.), tunnels and embankments in four sections of the Kerch Strait. As a result of the multifactor analysis, the optimal variation of the transition through the Tuzla point of two parallel bridges of about 19 km in length, with beam spans of 55-64 m, arches with a width of 227 m and a height of 45 m in the navigable channel was adopted. The bridge clearance for passage of ships is 185 × 35 m. To design a unique and complex bridge under existing regulations, special technical conditions were developed. When piles were driven, there were difficulties and issues that required prompt solutions. Employees of the Department of Highways and Bridges of the Perm National Research Polytechnic University were involved in testing piles and hammers. The design of foundations and the technology of driving piles were changed as the test results were obtained.

An Outdoor Test Rig for the Dynamic Testing of the Resistance of Rubber Compounds to the Effect of Atmospheric Factors

2016 ◽  
Vol 43 (1) ◽  
pp. 39-42
Author(s):  
S.M. Kavun ◽  
A.S. Medzhibovskii ◽  
A.V. Dement'ev ◽  
A.S. Kolokol'nikov ◽  
E.N. Sudarenko ◽  
...  
Keyword(s):  
Dynamic Testing ◽  
Test Rig ◽  
Rubber Compounds ◽  
Outdoor Test ◽  
Atmospheric Factors

scholarly journals Parametric Identification of a Dynamic Foundation Model of a Rotary Machine Using Response Data Due to Unknown Unbalances

2000 ◽  
Vol 6 (6) ◽  
pp. 453-466
Author(s):  
Uwe Prells ◽  
Arthur W. Lees
Keyword(s):  
Parametric Identification ◽  
Test Rig ◽  
Rotary Machine ◽  
Response Data ◽  
Turbo Generator ◽  
Foundation Model ◽  
First Results ◽  
Unbalance Force ◽  
The Difference ◽  
Unknown Foundation

The estimation of a model of the foundation of a rotary machine has been recently attempted by using the difference between two sets of response data at some of the bearing locations from two consecutive rundowns of the machine, with and without known unbalance weights at certain positions on the two balance discs of each rotor respectively. However, it would be a great advantage to be able to perform the estimation with a single rundown. Due to practical restrictions in performing such tests (accessibility, costs etc.), there are cases in which data for only one rundown are available. In this case, the unbalance configuration is unknown and has, therefore, to be estimated, in addition to the unknown foundation model. Due to the special form of the unbalance force, this overall inverse problem can be solved by eliminating the unbalance configuration from the model estimation process. The remaining equation to estimate the foundation model consists of the projection of the response data, where the associated projector depends on the foundation model parameter. First results using the method, applied to a laboratory test rig and to a commercial turbo-generator, are presented.

scholarly journals Wind Turbine Blade Damage Detection Using Supervised Machine Learning Algorithms

2017 ◽  
Vol 139 (6) ◽  
Author(s):  
Taylor Regan ◽  
Christopher Beale ◽  
Murat Inalpolat
Keyword(s):  
Machine Learning ◽  
Damage Detection ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Learning Algorithms ◽  
Turbine Blades ◽  
Machine Learning Algorithms ◽  
Test Rig ◽  
Wind Turbine Blades ◽  
Baseline Characteristics

Wind turbine blades undergo high operational loads, experience variable environmental conditions, and are susceptible to failure due to defects, fatigue, and weather-induced damage. These large-scale composite structures are fundamentally enclosed acoustic cavities and currently have limited, if any, structural health monitoring (SHM) in place. A novel acoustics-based structural sensing and health monitoring technique is developed, requiring efficient algorithms for operational damage detection of cavity structures. This paper describes the selection of a set of statistical features for acoustics-based damage detection of enclosed cavities, such as wind turbine blades, as well as a systematic approach used in the identification of competent machine learning algorithms. Logistic regression (LR) and support vector machine (SVM) methods are identified and used with optimal feature selection for decision-making via binary classification algorithms. A laboratory-scale wind turbine with hollow composite blades was built for damage detection studies. This test rig allows for testing of stationary or rotating blades, of which time and frequency domain information can be collected to establish baseline characteristics. The test rig can then be used to observe any deviations from the baseline characteristics. An external microphone attached to the tower will be utilized to monitor blade health while blades are internally ensonified by wireless speakers. An initial test campaign with healthy and damaged blade specimens is carried out to arrive at several conclusions on the detectability and feature extraction capabilities required for damage detection.

Sign in / Sign up

Export Citation Format

Share Document