A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures

2022 ◽  
Author(s):  
Andreas W. Momber ◽  
Tim W. Nattkemper ◽  
Daniel Langenkämper ◽  
Torben Möller ◽  
Daniel Brün ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Protective Coating ◽  
Maintenance Planning

scholarly journals Maintenance Planning of Offshore Wind Turbine Using Condition Monitoring Information

2009 ◽  
Author(s):  
Jose´ G. Rangel-Rami´rez ◽  
John D. So̸rensen
Keyword(s):  
Condition Monitoring ◽  
Wind Turbines ◽  
Wind Farm ◽  
Offshore Structures ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Maintenance Planning ◽  
Offshore Wind Turbines ◽  
Inspection And Maintenance ◽  
Monitoring Information

Deterioration processes such as fatigue and corrosion are typically affecting offshore structures. To “control” this deterioration, inspection and maintenance activities are developed. Probabilistic methodologies represent an important tool to identify the suitable strategy to inspect and control the deterioration in structures such as offshore wind turbines (OWT). Besides these methods, the integration of condition monitoring information (CMI) can optimize the mitigation activities as an updating tool. In this paper, a framework for risk-based inspection and maintenance planning (RBI) is applied for OWT incorporating CMI, addressing this analysis to fatigue prone details in welded steel joints at jacket or tripod steel support structures for offshore wind turbines. The increase of turbulence in wind farms is taken into account by using a code-based turbulence model. Further, additional modes t integrate CMI in the RBI approach for optimal planning of inspection and maintenance. As part of the results, the life cycle reliabilities and inspection times are calculated, showing that earlier inspections are needed at in-wind farm sites. This is expected due to the wake turbulence increasing the wind load. With the integration of CMI by means Bayesian inference, a slightly change of first inspection times are coming up, influenced by the reduction of the uncertainty and harsher or milder external agents.

Maintenance Planning Using Condition Monitoring Data

2018 ◽  
pp. 543-548 ◽  
Author(s):  
Daniel Olivotti ◽  
Jens Passlick ◽  
Sonja Dreyer ◽  
Benedikt Lebek ◽  
Michael H. Breitner
Keyword(s):  
Condition Monitoring ◽  
Monitoring Data ◽  
Maintenance Planning

A Digital Twin concept for the prescriptive maintenance of protective coating systems on wind turbine structures

2021 ◽  
pp. 0309524X2110605
Author(s):  
Andreas W Momber ◽  
Torben Möller ◽  
Daniel Langenkämper ◽  
Tim W Nattkemper ◽  
Daniel Brün
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Wind Turbines ◽  
Protective Coating ◽  
Image Annotation ◽  
Initial Point ◽  
Sensor Data ◽  
Surface Protection ◽  
Digital Twin ◽  
Inspection Condition

The application of protective coating systems is the major measure against the corrosion of steel for tower sections of wind turbines. The inspection, condition monitoring and maintenance of protective coating system is a demanding and time-consuming procedure and requires high human effort. The paper introduces for the first time a Digital Twin concept for the condition monitoring and prescriptive maintenance planning for surface protection systems on wind turbine towers. The initial point of the concept is an in-situ Virtual Twin for the generation of reference areas for condition monitoring. The paper describes the integration of an online image annotation and processing tool, a maintenance model, corrosive resistance parameters, structural load parameters, and sensor data into the Digital Twin concept. The prospects of the concept and its practical relevance are shown for tower structures of large onshore wind turbines.

Maintenance Planning Support Tool Based on Condition Monitoring with Semantic Modeling of Systems

2018 ◽  
pp. 271-276
Author(s):  
Alice Reina ◽  
Sang-Je Cho ◽  
Gökan May ◽  
Eva Coscia ◽  
Jacopo Cassina ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Maintenance Planning ◽  
Semantic Modeling ◽  
Support Tool ◽  
Planning Support

Fault diagnosis of rolling element bearing using autonomous harmonic product spectrum method

2021 ◽  
pp. 146441932199498
Author(s):  
AP Patil ◽  
BK Mishra ◽  
SP Harsha
Keyword(s):  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Rolling Element Bearing ◽  
Physical Parameters ◽  
Measured Signal ◽  
Maintenance Planning ◽  
Filtering Method ◽  
Product Spectrum ◽  
Rolling Element ◽  
Element Bearing

Maintenance planning plays a critical role in the process industry, where any unplanned maintenance may lead to a significant loss. Condition monitoring happens to aid maintenance planning and has become an inherent part of the maintenance activity. Physical parameters such as vibration, acoustic emission, current, etc., are used for condition monitoring, out of which vibration is the most preferred parameter and is widely used in the industry. Vibration data is measured near to bearings, which themselves are monitored for their condition, and hence rolling element bearing (REB) is the focus of this study. REBs are monitored for the presence of a fault in them as well as for their severity. Fault diagnosis of REB using harmonic product spectrum (HPS) is proposed in this study. The proposed methodology's novelty lies in the signal pre-processing step, whose output is fed to the HPS method, which is used for defective raceway identification. The efficacy of HPS is assessed with parameter optimized Variational mode decomposition (VMD) and classical bandpass filtering method as pre-processors. It is observed that the HPS delivers better diagnostic results with the VMD method than the bandpass filtering method. Non-dominated sorting particle swarm optimization algorithm is deployed for parameter optimization of VMD. HPS combined with VMD as pre-processor forms an autonomous HPS(AHPS) algorithm, whose input is measured signal and output is defect frequency. The process is so designed that a raw signal, when fed to the algorithm, delivers the result as identification of a defective raceway. Unlike previously developed methods, the proposed method needs no manual intervention. Results obtained from simulated signals and signals recorded through experiments validate that the proposed methodology can be used effectively for fault diagnosis of REB.

CAD Of Anticorrosive Protection Of Steel Structures

2019 ◽  
pp. 18-23
Keyword(s):  
Protective Coating ◽  
Computer Aided Design ◽  
Steel Structures ◽  
Cost Effective ◽  
Operating Conditions ◽  
Computational Tool ◽  
Protection Method ◽  
Cost Effective Method ◽  
The Cost ◽  
Aided Design

The choice of cost-effective method of anticorrosive protection of steel structures is an urgent and time consuming task, considering the significant number of protection ways, differing from each other in the complex of technological, physical, chemical and economic characteristics. To reduce the complexity of solving this problem, the author proposes a computational tool that can be considered as a subsystem of computer-aided design and used at the stage of variant and detailed design of steel structures. As a criterion of the effectiveness of the anti-corrosion protection method, the cost of the protective coating during the service life is accepted. The analysis of existing methods of steel protection against corrosion is performed, the possibility of their use for the protection of the most common steel structures is established, as well as the estimated period of effective operation of the coating. The developed computational tool makes it possible to choose the best method of protection of steel structures against corrosion, taking into account the operating conditions of the protected structure and the possibility of using a protective coating.

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