scholarly journals Opportunistic maintenance strategy of a Heave Compensation System for expected performance degradation

2021 ◽  
Vol 23 (3) ◽  
pp. 512-521
Author(s):  
Chao Zhang ◽  
Yujie Qian ◽  
Hongyan Dui ◽  
Shaoping Wang ◽  
Rentong Chen ◽  
...  
Keyword(s):  
Compensation System ◽  
Importance Measure ◽  
Opportunistic Maintenance ◽  
Compensation Systems ◽  
Marine Industry ◽  
The Monte Carlo Method ◽  
Expected Performance ◽  
Working Principle ◽  
Selection Of ◽  
Marginal Reliability

In the marine industry, heave compensation systems are applied to marine equipment to compensate for the adverse effects of waves and the hydraulic system is usually used as the power system of heave compensation systems. This article introduces importance theory to the opportunistic maintenance (OM) strategy to provide guidance for the maintenance of heave compensation systems. The working principle of a semi-active heave compensation system and the specific working states of its hydraulic components are also first explained. Opportunistic maintenance is applied to the semi-active heave compensation system. Moreover, the joint integrated importance measure (JIIM) between different components at different moments is analyzed and used as the basis for the selection of components on which to perform PM, with the ultimate goal of delaying the degradation of the expected performance of the system. Finally, compared with conditional marginal reliability importance (CMRI)-based OM, the effectiveness of JIIM-based OM is verified by the Monte Carlo method.

scholarly journals Sensitivity Based Selection of an Optimal Cable-Driven Parallel Robot Design for Rehabilitation Purposes

Robotics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Ferdaws Ennaiem ◽  
Abdelbadiâ Chaker ◽  
Juan Sebastián Sandoval Arévalo ◽  
Med Amine Laribi ◽  
Sami Bennour ◽  
...  
Keyword(s):  
Pareto Front ◽  
Parallel Robot ◽  
Elastic Stiffness ◽  
Upper Limb Rehabilitation ◽  
Daily Life Activities ◽  
System A ◽  
The Monte Carlo Method ◽  
Genetic Algorithm Method ◽  
Limb Rehabilitation ◽  
Selection Of

This paper deals with the design of an optimal cable-driven parallel robot (CDPR) for upper limb rehabilitation. The robot’s prescribed workspace is identified with the help of an occupational therapist based on three selected daily life activities, which are tracked using a Qualisys motion capture system. A preliminary architecture of the robot is proposed based on the analysis of the tracked trajectories of all the activities. A multi-objective optimization process using the genetic algorithm method is then performed, where the cable tensions and the robot size are selected as the objective functions to be minimized. The cables tensions are bounded between two limits, where the lower limit ensures a positive tension in the cables at all times and the upper limit represents the maximum torque of the motor. A sensitivity analysis is then performed using the Monte Carlo method to yield the optimal design selected out of the non-dominated solutions, forming the obtained Pareto front. The robot with the highest robustness toward the disturbances is identified, and its dexterity and elastic stiffness are calculated to investigate its performance.

Research and Application of High-Efficiency Multi-Cyclone Dust Removal

2011 ◽  
Vol 109 ◽  
pp. 400-404
Author(s):  
Yan Hong Yang ◽  
Da Fu Ni
Keyword(s):  
Structural Design ◽  
High Efficiency ◽  
Dust Removal ◽  
Working Principle ◽  
Selection Of

Performance and working principle of high-efficiency multi-cyclone were analyzed, and the structural design shortage of original high-efficiency multi-cyclone was pointed out. Its structure was researched and designed, including determination of setting chamber and pipe number, selection of material and the design of cyclones.

scholarly journals Analysis of Employee Satisfaction and Performance Based on the Characteristics of Compensation Systems and Organizational Culture in Hospital dr. Soepraoen Malang

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Untung Slamet Suhariyono
Keyword(s):  
Organizational Culture ◽  
Significant Influence ◽  
Employee Satisfaction ◽  
Quantitative Research ◽  
Employee Performance ◽  
Compensation System ◽  
Design Data ◽  
Compensation Systems ◽  
And Performance ◽  
Performance Satisfaction

This study aims to determine the effect of Employee Satisfaction and Performance based on the Characteristics of Compensation Systems and Organizational Culture in the Hospital of Dr. Soepraoen Malang. This study uses a quantitative research method research design. Data collected using a questionnaire on 100 permanent employee respondents at Soepraoen Hospital Malang.Independent variables of this study are Job Satisfaction and Employee Performance. The dependent variable of this study is the Compensation System and Organizational Culture. The results of the study show (1) Employee satisfaction has a significant influence on the compensation system; (2) Organizational culture has a significant influence on employee satisfaction; (3) Compensation has a significant influence on employee performance;(4) Organizational culture has a significant influence on employee performance; (5) Compensation has a significant effect on employee performance through employee performance satisfaction at the Hospital. II dr. Soepraoen; (6) Organizational culture has a significant influence on employee performance through employee performance satisfaction at the Tk Hospital. II dr. Soepraoen.

Comparison and Selection of Different Types of Boiler Soot-Blowers

2014 ◽  
Vol 1008-1009 ◽  
pp. 934-937 ◽  
Author(s):  
Xiu Yan Wang ◽  
Ye Xuan Chen
Keyword(s):  
Different Types ◽  
Primary Means ◽  
Working Principle ◽  
Application Scope ◽  
Selection Of

The application of soot-blower is the primary means for solving the fouling and slagging of coal-fired boilers. And appropriate soot-blowing will greatly improve the efficiency of boilers. Therefore, selecting the appropriate type of soot-blower is surely important. This paper analyzes the working principle, technical characteristics, and application scope of steam soot-blowers, gas pulse shock soot-blowers, acoustic soot-blowers and air shock soot-blowers which are common in boilers. It raises a proposal that different types of soot-blowers should be used in different positions of boilers.

Analysis on Schemes of Passive Heave Compensation System for Base Plate

2012 ◽  
Vol 562-564 ◽  
pp. 851-854
Author(s):  
Yan Gui Yang ◽  
Zhi Xin Chen ◽  
Min Xun Lu ◽  
Zhi Qiang Xu
Keyword(s):  
Base Plate ◽  
Hydraulic Cylinder ◽  
Compensation System ◽  
Hydraulic Systems ◽  
Compensation Systems

Three kinds of schemes of passive heave compensation systems (PHCS) for base plate are presented in this paper. These schemes are PHCS based on winch, PHCS based on weight and PHCS based on hydraulic cylinder. An analysis focused on the principles and the characteristics of these schemes is developed, and the hydraulic systems of these schemes are also established. This provides an important theoretical guidance for choosing the scheme of the passive heave compensation system for base plate according to different conditions.

scholarly journals Stochastic versus Deterministic Approach to Coordinated Supply Chain Scheduling

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Tadeusz Sawik
Keyword(s):  
Supply Chain ◽  
Stochastic Approach ◽  
Expected Value ◽  
Random Parameters ◽  
Expected Performance ◽  
Production And Distribution ◽  
Wait And See ◽  
Expected Value Problem ◽  
Disruption Risks ◽  
Selection Of

The purpose of this paper is to consider coordinated selection of supply portfolio and scheduling of production and distribution in supply chains under regional and local disruption risks. Unlike many papers that assume the all-or-nothing supply disruption pattern, in this paper, only the regional disruptions belong to the all-or-nothing disruption category, while for the local disruptions all disruption levels can be considered. Two biobjective decision-making models, stochastic, based on the wait-and-see approach, and deterministic, based on the expected value approach, are proposed and compared to optimize the trade-off between expected cost and expected service. The main findings indicate that the stochastic programming wait-and-see approach with its ability to handle uncertainty by probabilistic scenarios of disruption events and the much simpler expected value problem, in which the random parameters are replaced by their expected values, lead to similar expected performance of a supply chain under multilevel disruptions. However, the stochastic approach, which accounts for all potential disruption scenarios, leads to a more diversified supply portfolio that will hedge against a variety of scenarios.

Research on Flow Measurement Technology in the Field Test of Pumping Station Engineering

2013 ◽  
Vol 475-476 ◽  
pp. 75-81
Author(s):  
Jian Gang Feng ◽  
You Wei Xu
Keyword(s):  
Field Test ◽  
Flow Measurement ◽  
Measurement Technology ◽  
Measuring Instruments ◽  
Pumping Station ◽  
Key Factor ◽  
Working Principle ◽  
Main Basis ◽  
Technical And Economic Indicators ◽  
Selection Of

Pumping station engineering field test is the main basis of pumps technical renovation and the assessment of technical and economic indicators. Flow measurement is a key content of pumping station in the engineering field test. How to choose a reliable and applicable, economic and effective measurement method and measuring instruments is the key factor of success for flow measurement. In this paper, starting from the characteristics of pumping station engineering field test technology, to research it in three aspects .They are the method of flow measurement classification, working principle and characteristics of common measuring instruments, measurement methods and the selection of instruments and equipment. It also analyzes the different types of pumping station flow measurement technologies in engineering field test, and makes some explanation combined with typical examples pumping station project flow measurement.

scholarly journals Nekrivdna odškodninska odgovornost v zdravstvu

2021 ◽  
pp. 49-71
Author(s):  
Viktorija Žnidaršič Skubic ◽  
Keyword(s):  
Health Care ◽  
Essential Feature ◽  
Comparative Law ◽  
Compensation System ◽  
Health Care Sector ◽  
Civil Litigation ◽  
Compensation Systems

t In the article, the authoress deals with the problem of liability for damages in the health care sector. In Slovenia and comparative law the s. c. classic system still prevails. That is a fault-based compensation system, which is used in all cases of determining liability for damages and therefore does not apply only to health care. However, in some countries, due to the problems caused by the aforementioned systems, they have decided to introduce the s. c. no-guilt damages system. An essential feature of such compensation schemes is the payment of (major) medical damage to the patient, even in cases where the physician's fault is not precisely established. It is mainly about enforcing the principle of protecting the rights of the weaker party (a patient), when interfering with one of his greatest goods (his/her health). This trend is also increasingly present in classic compensation systems: primarily, the rules of civil litigation are being softened.

scholarly journals Elastic Correlation Adjusted Regression (ECAR) scores for high dimensional variable importance measuring

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuan Zhou ◽  
Botao Fa ◽  
Ting Wei ◽  
Jianle Sun ◽  
Zhangsheng Yu ◽  
...  
Keyword(s):  
Molecular Data ◽  
Forced Expiratory Volume ◽  
Variable Importance ◽  
Importance Measure ◽  
Selection Of Variables ◽  
Relevant Variables ◽  
Complex Correlation ◽  
Dimensional Variable ◽  
High Degree ◽  
Selection Of

AbstractInvestigation of the genetic basis of traits or clinical outcomes heavily relies on identifying relevant variables in molecular data. However, characteristics such as high dimensionality and complex correlation structures of these data hinder the development of related methods, resulting in the inclusion of false positives and negatives. We developed a variable importance measure method, termed the ECAR scores, that evaluates the importance of variables in the dataset. Based on this score, ranking and selection of variables can be achieved simultaneously. Unlike most current approaches, the ECAR scores aim to rank the influential variables as high as possible while maintaining the grouping property, instead of selecting the ones that are merely predictive. The ECAR scores’ performance is tested and compared to other methods on simulated, semi-synthetic, and real datasets. Results showed that the ECAR scores improve the CAR scores in terms of accuracy of variable selection and high-rank variables’ predictive power. It also outperforms other classic methods such as lasso and stability selection when there is a high degree of correlation among influential variables. As an application, we used the ECAR scores to analyze genes associated with forced expiratory volume in the first second in patients with lung cancer and reported six associated genes.

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