Multi-Stage Combination Prediction Model of Technical Condition Parameters of Equipment

2014 ◽  
Vol 635-637 ◽  
pp. 1994-2000
Author(s):  
Shi Xin Zhang ◽  
Xiang Zan ◽  
Yi Zheng ◽  
Yan Chao Liu
Keyword(s):  
Prediction Model ◽  
Delay Time ◽  
Technical Condition ◽  
Condition Based Maintenance ◽  
Lubricating Oil ◽  
Oil Analysis ◽  
Two Stage ◽  
Multi Stage ◽  
Key Steps ◽  
Operation Phase

Technical condition parameters prediction is one of key steps in CBM (Condition based Maintenance). As disadvantage of traditional methods, Base on theory of combination prediction, combining with Delay Time and two-stage prediction model, multi-stage combination prediction model is proposed. The model can solve the problem that complicated rule of variation in equipment condition and uncertainty characteristic. Through lubricating oil analysis and correlated prescribing, operation phase of equipment is parted. At the same time, every method adapt to every stage is found. The result shows the model works well and effectively.

scholarly journals A two‐stage prediction model for heterogeneous effects of treatments

2021 ◽  
Author(s):  
Konstantina Chalkou ◽  
Ewout Steyerberg ◽  
Matthias Egger ◽  
Andrea Manca ◽  
Fabio Pellegrini ◽  
...  
Keyword(s):  
Prediction Model ◽  
Two Stage ◽  
Heterogeneous Effects

scholarly journals Generalized optimizations of two-stage forging of micro/meso copper fastener

2018 ◽  
Vol 185 ◽  
pp. 00002
Author(s):  
Shih-Hsien Lin ◽  
Un-Chin Chai ◽  
Gow-Yi Tzou ◽  
Dyi-Cheng Chen
Keyword(s):  
Simulation Analysis ◽  
Effective Strain ◽  
Cold Forging ◽  
Two Stage ◽  
Forming Simulation ◽  
Multi Stage ◽  
Element Simulation ◽  
Die Stress ◽  
Stress Optimization ◽  
Forging Force

Three are generalized simulation optimizations considering the forging force, the die stress, and the dual-goals in two-stage forging of micro/meso copper fastener. Constant shear friction between the dies and workpiece is assumed to perform multi-stage cold forging forming simulation analysis, and the Taguchi method with the finite element simulation has been used for mold-and-dies parameters design simulation optimizations considering the forging force, die stress, and dual-goals. The die stress optimization is used to explore the effects on effective stress, effective strain, velocity field, die stress, forging force, and shape of product. The influence rank to forging process of micro/meso copper fastener for three optimizations can be determined, and the optimal parameters assembly consider die stress can be obtained in this study. It is noted that the punch design innovation can reduce the forging force and die stress.

scholarly journals Energy-Efficient Forest Fire Prediction Model based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol

2018 ◽  
Author(s):  
Jin-Gu Kang ◽  
Dong-Woo Lim ◽  
Jin-Woo Jung
Keyword(s):  
Prediction Model ◽  
Forest Fire ◽  
Duty Cycle ◽  
Forest Fires ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Two Stage ◽  
Fire Monitoring ◽  
Environmental Status ◽  
Mountain Environment

In this paper, we propose an adaptive duty-cycled hybrid X-MAC (ADX-MAC) protocol for energy-efficient forest fire prediction. The X-MAC protocol acquires the additional environmental status collected by each forest fire monitoring sensor for a certain period. And, based on these values, the length of sleep interval of duty-cycle is changed to efficiently calculate the risk of occurrence of forest fire according to the mountain environment. The performance of the proposed ADX-MAC protocol was verified through experiments the proposed ADX-MAC protocol improves throughput by 19% and was more energy-efficient by 24% compared to X-MAC protocol. As the probability of forest fires increases, the length of the duty cycle is shortened, confirming that the forest fires are detected at a faster cycle.

Condition Monitoring of Engines by Lubricating Oil Analysis

1999 ◽  
Author(s):  
Luiz Augusto Rocha Baptista ◽  
Luiz Antonio Vaz Pinto ◽  
Carlos Rodrigues Pereira Belchior
Keyword(s):  
Condition Monitoring ◽  
Lubricating Oil ◽  
Oil Analysis
Sign in / Sign up

Export Citation Format

Share Document