An integrated maintenance strategy of wind turbine based on statistic process control

2021 ◽  
Author(s):  
Zhenyu Wu ◽  
Yanting Li
Keyword(s):  
Process Control ◽  
Wind Turbine ◽  
Maintenance Strategy ◽  
Statistic Process Control

scholarly journals ANALISIS KUALITAS PRODUK MENGGUNAKAN METODE STATISTIC PROCESS CONTROL (SPC) MINITAB DAN TIME-CHARTING DI PT. COCA-COLA BOTTLING INDONESIA UNIT LAMPUNG

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Joko Saryono ◽  
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Method ◽  
Production Data ◽  
Statistical Process ◽  
Research Results ◽  
Statistic Process Control ◽  
Gas Volume ◽  
A Company

Abstract PT. COCA-COLA BOTTLING INDONESIA is a company engaged in the field of Agro-industry is bottling soft drinks and not sparkling. The products produced are Coca-Cola, Sprite, Fanta, and Tea. To be able to compete with similar industries then the company implements quality control by Statistical Process Control method. In the development of this SPC many methods there are manual or who use the software. Currently PT. Coca-Cola Bottling Indonesia in quality control using Time Charting method, but since the transition from Minitab to Time Charting the tendency of the value of capability below standard, whereas production data is almost the same as using Minitab. The purpose of this research is to analyze the inequality of Statistical Process Control between Minitab 13 and Time Charting. Time Charting method is a new method that is given by the headquarters for the process of quality control can be fast and accurate. Quality control with the Statistical Process Control of Minitab and Time Charting methods after the results of the research results was found to be part of different LSL and USL charging, and Calculate Statistic Using different from Minitab method should still be 6 but in written procedure 3. For writing LSL And USL if the Time Charting is determined by the head office while Minitab analysts fill in based on experiments on the decrease of gas volume marketed in previous years. From the research results obtained Cpk data for Minitab method 13 is Sprite 390 ml 1.47, Sprite 1000 ml 1.90 and Sprite 1500 ml 1.38. The result of the research was using Minitab method and the Charting Time of Capacity that is above 1.33 average. The causes of the resulting inequality of both methods are the LSL, USL and Calculate Statistic Using values. The smaller the value of Calculate Statistic Using the higher Cpk produced. Keywords: Production, Statistical Process Control, Quality.

Robot guided bolt tensioning tool with adaptive process control for the automated assembly of wind turbine rotor blade bearings

2014 ◽  
Vol 8 (6) ◽  
pp. 755-764 ◽  
Author(s):  
Rainer Müller ◽  
Leenhard Hörauf ◽  
Matthias Vette ◽  
Javier Lopez San Martin ◽  
Aitor Alzaga ◽  
...  
Keyword(s):  
Process Control ◽  
Wind Turbine ◽  
Rotor Blade ◽  
Turbine Rotor ◽  
Automated Assembly ◽  
Turbine Rotor Blade ◽  
Adaptive Process ◽  
Adaptive Process Control ◽  
Wind Turbine Rotor

Research on Hydraulic Pitch-Control System of Wind Turbine

2013 ◽  
Vol 300-301 ◽  
pp. 1458-1462
Author(s):  
Jin Chun Song ◽  
Guan Gan Ren ◽  
Yu Jie Ren
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Process Control ◽  
Wind Turbine ◽  
Pid Control ◽  
Current Load ◽  
Simulation Research ◽  
Pitch Control ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

It is usually difficult to establish an accurate mathematical model for hydraulic servo system because of its complicated and non-linear properties. However, bond-graph method has its unique advantages in modeling such as processing multiple energy conversions. Furthermore, good results could be achieved by combining fuzzy control with normal PID control. As a result of air current load interfering with the system in changeable and complicated environment, process control is obviously important. Taking 1MW wind turbine pitch-control system as an example, a simulation research based on the above method is conducted.

Wind Turbine Gearbox Failure Prediction Based on Time Series Analysis and Statistical Process Control

2011 ◽  
Vol 347-353 ◽  
pp. 2236-2240 ◽  
Author(s):  
Fei Fei Wang ◽  
Xiao Qing Xiao ◽  
Hong Shan Zhao
Keyword(s):  
Time Series ◽  
Process Control ◽  
Wind Turbine ◽  
Statistical Process Control ◽  
Arima Model ◽  
Failure Prediction ◽  
Temperature Data ◽  
Operating Conditions ◽  
Statistical Process ◽  
Normal Operating

The Time Series method and Statistical Process Control strategy is applied to predict failures of wind turbine gearboxes. First, based on the real-time temperature data of gearboxes measured by temperature sensors, the temperature prediction model under normal operating conditions is established by ARIMA model. The analysis of the predicted values and the actual values of gearbox temperature is done, and proves that its residuals are normally distributed; then combined with statistical process control (SPC) methods, the big number of temperature data is used to calculate the standard deviation(σ) of residuals, and the gearbox failure threshold will be identified; Finally, the temperature data are analyzed both in normal operating condition and the failure condition to determine the operation status of the gearbox, statistical analysis and residual charts are carried out for gearbox failure prediction, verifying the feasibility and effectiveness of the proposed method.

scholarly journals An Optimal Number-Dependent Preventive Maintenance Strategy for Offshore Wind Turbine Blades Considering Logistics

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Mahmood Shafiee ◽  
Michael Patriksson ◽  
Ann-Brith Strömberg
Keyword(s):  
Wind Turbine ◽  
Preventive Maintenance ◽  
Wind Farm ◽  
Turbine Blades ◽  
Optimal Solution ◽  
Optimal Number ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Model Parameters ◽  
Maintenance Strategy

In offshore wind turbines, the blades are among the most critical and expensive components that suffer from different types of damage due to the harsh maritime environment and high load. The blade damages can be categorized into two types: the minor damage, which only causes a loss in wind capture without resulting in any turbine stoppage, and the major (catastrophic) damage, which stops the wind turbine and can only be corrected by replacement. In this paper, we propose an optimal number-dependent preventive maintenance (NDPM) strategy, in which a maintenance team is transported with an ordinary or expedited lead time to the offshore platform at the occurrence of theNth minor damage or the first major damage, whichever comes first. The long-run expected cost of the maintenance strategy is derived, and the necessary conditions for an optimal solution are obtained. Finally, the proposed model is tested on real data collected from an offshore wind farm database. Also, a sensitivity analysis is conducted in order to evaluate the effect of changes in the model parameters on the optimal solution.

An opportunistic maintenance strategy for offshore wind turbine based on accessibility evaluation

2019 ◽  
Vol 44 (5) ◽  
pp. 455-468
Author(s):  
Xie Lubing ◽  
Rui Xiaoming ◽  
Li Shuai ◽  
Hu Xin
Keyword(s):  
Wind Turbine ◽  
Preventive Maintenance ◽  
Wind Farm ◽  
Weather Conditions ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Maintenance Strategy ◽  
Offshore Wind Farm ◽  
Opportunistic Maintenance ◽  
Operation And Maintenance

The maintenance costs of offshore wind turbines operated under the irregular, non-stationary conditions limit the development of offshore wind power industry. Unlike onshore wind farms, the weather conditions (wind and waves) have greater impacts on the operation and maintenance of offshore wind farm. Accessibility is a key factor related to the operation and maintenance of offshore wind turbine. Considering the impact of weather conditions on the maintenance activities, the Markov method and dynamic time window are applied to represent the weather conditions, and an index used to evaluate the maintenance accessibility is then proposed. As the wind turbine is a multi-component complex system, this article uses the opportunistic maintenance strategy to optimize the preventive maintenance age and opportunistic maintenance age for the main components of the wind turbine. Taking the minimum expectation cost as objective function, this strategy integrates the maintenance work of the key components. Finally, an offshore wind farm is taken for simulation case study of this strategy; the results showed that the maintenance cost of opportunistic maintenance strategy is 10% lower than that of the preventive maintenance strategy, verifying the effectiveness of the opportunistic maintenance.

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