scholarly journals Corrosion analysis and remaining useful life prediction for storage tank bottom

2019 ◽  
Vol 16 (5) ◽  
pp. 172988141987705 ◽  
Author(s):  
Yu Feng ◽  
Yujiu Yang ◽  
Biqing Huang
Keyword(s):  
Storage Tank ◽  
Life Prediction ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Remaining Useful Life ◽  
Preliminary Evaluation ◽  
Storage Tanks ◽  
Useful Life ◽  
Tank Bottom

Corrosion of large storage tank bottom has been identified as the main threat to tank security around the world. Corrosion detection becomes the main approach to ensure the safety of large storage tanks. In this article, we propose a two-stage tank bottom corrosion analysis and remaining useful life prediction framework. In the first stage, the causes and mechanisms of tank bottom corrosion are analyzed, the evaluation metric system is established, and the fuzzy comprehensive evaluation method is used to evaluate the health status of tank bottom. The preliminary evaluation result in the first stage determines whether a subsequent remaining useful life prediction is required. If the tank bottom is not in healthy state, in the second stage, the remaining useful life prediction of the tank bottom is implemented by acoustic emission and risk-based inspection. Both qualitative and quantitative evaluation are carried out to provide a basis for the operation and maintenance decision of storage tanks.

Assessments on Fire and Explosion of Petrochemical Wharf Storage Tank Area Using DOW Method and Fuzzy Comprehensive Evaluation Model

2014 ◽  
Vol 638-640 ◽  
pp. 1986-1992 ◽  
Author(s):  
Shi Tao Peng ◽  
Yi Sun ◽  
Ran Zhou ◽  
Xiao Li Wang ◽  
Wen Ling Guan
Keyword(s):  
Storage Tank ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Weighted Average ◽  
Fuzzy Comprehensive Evaluation ◽  
Weight Vector ◽  
Risk Level ◽  
Entropy Weight ◽  
Fire And Explosion

Based on the features of fire and explosion accidents in petrochemical wharf storage tank area, the DOW method and fuzzy comprehensive evaluation method were applied to evaluate risk of fire and explosion. First of all, DOW method was employed to evaluate the hazard of fire and explosion of petrochemical wharf storage tank area preliminarily and risk indexes of various tanks were obtained. Then, 5 first-level and 24 second-level indexes were identified by the fuzzy mathematics, in which the entropy weight method was introduced to determine weight vector of arrangement analysis, and applied to an actual risk evaluation for a petrochemical wharf storage tank area to determine fuzzy sets. On the basis of the weighted average method, the risk level is medium. Arranges the second-level indexes, and the main factors affecting the accident were concluded,including the violation rate of labor discipline, characteristics of hazardous materials, fire facilities, safety checks, operation of the security emergency response system and so on.

scholarly journals Health Assessment and Remaining Useful Life Prediction of Wind Turbine High-Speed Shaft Bearings

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4612
Author(s):  
Zhenen Li ◽  
Xinyan Zhang ◽  
Tusongjiang Kari ◽  
Wei Hu
Keyword(s):  
Wind Turbine ◽  
Life Prediction ◽  
High Speed ◽  
Comprehensive Evaluation ◽  
Health Assessment ◽  
Remaining Useful Life ◽  
Degradation Model ◽  
Bayesian Update ◽  
Som Network ◽  
Useful Life

Vibration signals contain abundant information that reflects the health status of wind turbine high-speed shaft bearings ((HSSBs). Accurate health assessment and remaining useful life (RUL) prediction are the keys to the scientific maintenance of wind turbines. In this paper, a method based on the combination of a comprehensive evaluation function and a self-organizing feature map (SOM) network is proposed to construct a health indicator (HI) curve to characterizes the health state of HSSBs. Considering the difficulty in obtaining life cycle data of similar equipment in a short time, the exponential degradation model is selected as the degradation trajectory of HSSBs on the basis of the constructed HI curve, the Bayesian update model, and the expectation–maximization (EM) algorithm are used to predict the RUL of HSSBs. First, the time domain, frequency domain, and time–frequency domain degradation features of HSSBs are extracted. Second, a comprehensive evaluation function is constructed and used to select the degradation features with good performance. Third, the SOM network is used to fuse the selected degradation features to construct a one-dimensional HI curve. Finally, the exponential degradation model is selected as the degradation trajectory of HSSBs, and the Bayesian update and EM algorithm are used to predict the RUL of the HSSB. The monitoring data of a wind turbine HSSB in actual operation is used to validate the model. The HI curve constructed by the method in this paper can better reflect the degradation process of HSSBs. In terms of life prediction, the method in this paper has better prediction accuracy than the SVR model.

Dynamic Modeling and Wear-Based Remaining Useful Life Prediction of High Power Clutch Systems

2005 ◽  
Vol 48 (2) ◽  
pp. 208-217 ◽  
Author(s):  
Matthew Watson ◽  
Carl Byington ◽  
Douglas Edwards ◽  
Sanket Amin
Keyword(s):  
Dynamic Modeling ◽  
High Power ◽  
Life Prediction ◽  
Remaining Useful Life ◽  
Useful Life

scholarly journals The hydrochemical characteristics and quality assessment of groundwater in Shuangliao City, China

2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang
Keyword(s):  
Groundwater Quality ◽  
Human Activities ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydrochemical Characteristics ◽  
Analytic Hierarchy ◽  
Liaohe River ◽  
Geological Conditions ◽  
Type Water

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.

scholarly journals A Fusion Prognostic Method for Remaining Useful Life Prediction Based on an Extended Belief Rule Base and Particle Filters

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Bincheng Wen ◽  
Mingqing Xiao ◽  
Guanghao Wang ◽  
Zhao Yang ◽  
Jianfeng Li ◽  
...  
Keyword(s):  
Life Prediction ◽  
Particle Filters ◽  
Remaining Useful Life ◽  
Rule Base ◽  
Belief Rule Base ◽  
Useful Life
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