Structural Equations for Multi-Health State, Multi-Utility Assessment Method Data

2006 ◽  
Author(s):  
Robert Hamm
Keyword(s):  
Assessment Method ◽  
Structural Equations ◽  
Health State ◽  
Utility Assessment

scholarly journals Risk-Oriented Product Assembly System Health Modeling and Predictive Maintenance Strategy

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2086 ◽  
Author(s):  
Fengdi Liu ◽  
Yihai He ◽  
Yixiao Zhao ◽  
Anqi Zhang ◽  
Di Zhou
Keyword(s):  
Health Risk ◽  
High Reliability ◽  
Health Assessment ◽  
Assessment Method ◽  
Predictive Maintenance ◽  
Assembly System ◽  
Health State ◽  
Maintenance Strategy ◽  
Health States ◽  
Operational Data

Assembly quality is the barometer of assembly system health, and a healthy assembly system is an important physical guarantee for producing reliable products. Therefore, for ensuring the high reliability of products, the operational data of the assembly system should be analyzed to manage health states. Therefore, based on the operational data of the assembly system collected by intelligent sensors, from the perspective of quality control based on risk thinking, a risk-oriented health assessment method and predictive maintenance strategy for managing assembly system health are proposed. First, considering the loss of product reliability, the concept of assembly system health risk is proposed, and the risk formation mechanism is expounded. Second, the process variation data of key reliability characteristics (KRCs) collected by different sensors are used to measure and assess the health risk of the running assembly system to evaluate the health state. Third, the assembly system health risk is used as the maintenance threshold, the predictive maintenance decision model is established, and the optimal maintenance strategy is determined through stepwise optimization. Finally, the case study verifies the effectiveness and superiority of the proposed method. Results show that the proposed method saves 37.40% in costs compared with the traditional method.

scholarly journals Bearing Health Assessment Based on Chaotic Characteristics

2013 ◽  
Vol 20 (3) ◽  
pp. 519-530 ◽  
Author(s):  
Chen Lu ◽  
Qian Sun ◽  
Laifa Tao ◽  
Hongmei Liu ◽  
Chuan Lu
Keyword(s):  
Health Assessment ◽  
Vibration Signal ◽  
Assessment Method ◽  
Largest Lyapunov Exponent ◽  
Health State ◽  
Self Organizing Map ◽  
Linear Complex ◽  
Vibration Signals ◽  
Confidence Value

Vibration signals extracted from rotating parts of machinery carry a lot of useful information about the condition of operating machine. Due to the strong non-linear, complex and non-stationary characteristics of vibration signals from working bearings, an accurate and reliable health assessment method for bearing is necessary. This paper proposes to utilize the selected chaotic characteristics of vibration signal for health assessment of a bearing by using self-organizing map (SOM). Both Grassberger-Procaccia algorithm and Takens' theory are employed to calculate the characteristic vector which includes three chaotic characteristics, such as correlation dimension, largest Lyapunov exponent and Kolmogorov entropy. After that, SOM is used to map the three corresponding characteristics into a confidence value (CV) which represents the health state of the bearing. Finally, a case study based on vibration datasets of a group of testing bearings was conducted to demonstrate that the proposed method can reliably assess the health state of bearing.

scholarly journals Sagittal craniosynostosis: a utility outcomes study

2017 ◽  
Vol 20 (2) ◽  
pp. 113-118 ◽  
Author(s):  
Victoria Kuta ◽  
P. Daniel McNeely ◽  
Simon Walling ◽  
Michael Bezuhly
Keyword(s):  
Online Survey ◽  
Assessment Tools ◽  
Health State Utility ◽  
Health State ◽  
Or Education ◽  
Health States ◽  
Utility Assessment ◽  
Objective Health ◽  
Sagittal Craniosynostosis ◽  
Utility Scores

OBJECTIVESagittal craniosynostosis results in a characteristic scaphocephalic head shape that is typically corrected surgically during a child’s 1st year of life. The authors’ objective was to determine the potential impact of being born with sagittal craniosynostosis by using validated health state utility assessment measures.METHODSAn online utility assessment was designed to generate health utility scores for scaphocephaly, monocular blindness, and binocular blindness using standardized utility assessment tools, namely the visual analog scale (VAS) and the standard gamble (SG) and time trade-off (TTO) tests. Utility scores were compared between health states using the Wilcoxon and Kruskal-Wallis tests. Univariate regression was performed using age, sex, income, and education as independent predictors of utility scores.RESULTSOver a 2-month enrollment period, 122 participants completed the online survey. One hundred eighteen participants were eligible for analysis. Participants rated scaphocephaly due to sagittal craniosynostosis with significantly higher (p < 0.001) median utility scores (VAS 0.85, IQR 0.76–0.95; SG 0.92, IQR 0.84–0.98; TTO 0.91, IQR 0.84–0.95) than both monocular blindness (VAS 0.60, IQR 0.50–0.70; SG 0.84, IQR 0.68–0.94; TTO 0.84, IQR 0.67–0.91) and binocular blindness (VAS 0.25, IQR 0.20–0.40; SG 0.51, IQR 0.18–0.79; TTO 0.55, IQR 0.36–0.76). No differences were noted in utility scores based on participant age, sex, income, or education.CONCLUSIONSUsing objective health state utility scores, authors of the current study demonstrated that the preoperatively perceived burden of scaphocephaly in a child’s 1st year of life is less than that of monocular blindness. These relatively high utility scores for scaphocephaly suggest that the burden of disease as perceived by the general population is low and should inform surgeons’ discussions when offering morbid corrective surgery, particularly when driven by aesthetic concerns.

scholarly journals The Utility Assessment Method Order Influences Measurement of Parents' Risk Attitude

2012 ◽  
Vol 15 (6) ◽  
pp. 926-932 ◽  
Author(s):  
S. Maria E. Finnell ◽  
Aaron E. Carroll ◽  
Stephen M. Downs
Keyword(s):  
Risk Attitude ◽  
Assessment Method ◽  
Utility Assessment

Patient participation in clinical decision-making for treatment of T3 laryngeal cancer: a comparison of state and process utilities.

1995 ◽  
Vol 13 (9) ◽  
pp. 2369-2378 ◽  
Author(s):  
J van der Donk ◽  
P C Levendag ◽  
A J Kuijpers ◽  
F H Roest ◽  
J D Habbema ◽  
...  
Keyword(s):  
General Population ◽  
Laryngeal Cancer ◽  
Treatment Modality ◽  
Clinical Decision Making ◽  
Rating Scale ◽  
Assessment Methods ◽  
Treatment Modalities ◽  
Individual Treatment ◽  
Health State ◽  
Utility Assessment

PURPOSE To study the use of two different approaches, and feasibility of four commonly used utility assessment methods to assess preferences for treatment of T3-laryngeal cancer by surgery or radiation therapy (RT). METHODS Utility assessment methods, namely, time trade-off (TTO), standard reference gamble (SRG), rating scale (RS), and direct comparison (DC), were used to assess utilities in two groups of former cancer patients (n = 10 for both), a group of clinicians (n = 9), and a group from the general population (n = 10). For the treatment modalities, ie, surgery and RT, two types of scenarios were developed and used: the state scenario, which describes a stable health state after treatment, and the process scenario, which describes a dynamic process. First, utilities were assessed based on state scenarios. Next, respondents were thoroughly informed and educated with respect to the relevant aspects of both treatment modalities. Subsequently, utilities were again assessed, but now based on the process scenarios. The outcome of each approach was calculated and expressed in a quality-adjusted life-expectancy (QALE) score for each treatment modality, and the treatment with the highest outcome was said to be the preferred treatment modality. RESULTS In general, a higher QALE score for each treatment modality was found for clinicians and for the general population as compared with the former-cancer-patient groups. When the outcome of both approaches was compared on an individual level dependent on the utility assessment method, 32% to 43% of respondents showed an inconsistent treatment preference. CONCLUSION The approach to assess utilities and the extent to which respondents are informed about treatment modalities have a major effect on individual treatment preferences.

scholarly journals PCN127 Health State Utility Assessment for Breast Cancer

2011 ◽  
Vol 14 (7) ◽  
pp. A457
Author(s):  
V. Shih ◽  
A. Chan ◽  
F. Xie ◽  
Y. Ko
Keyword(s):  
Breast Cancer ◽  
Health State Utility ◽  
Health State ◽  
Utility Assessment

An experimental test of question framing in health state utility assessment

Health Policy ◽  
1998 ◽  
Vol 45 (3) ◽  
pp. 187-193 ◽  
Author(s):  
Karen Blumenschein ◽  
Magnus Johannesson
Keyword(s):  
Experimental Test ◽  
Health State Utility ◽  
Health State ◽  
Utility Assessment

scholarly journals Health State Utility Assessment for Breast Cancer

2012 ◽  
Vol 1 (1) ◽  
pp. 93-97 ◽  
Author(s):  
Vivianne Shih ◽  
Alexandre Chan ◽  
Feng Xie ◽  
Yu Ko
Keyword(s):  
Breast Cancer ◽  
Health State Utility ◽  
Health State ◽  
Utility Assessment

scholarly journals Assessing the Performance Degradation of Lithium-Ion Batteries Using an Approach Based on Fusion of Multiple Feature Parameters

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Anchen Wang ◽  
Ying Zhang ◽  
Hongfu Zuo
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Degradation Process ◽  
Gaussian Mixture ◽  
Assessment Method ◽  
Performance Degradation ◽  
Discharge Voltage ◽  
Health State ◽  
Multiple Features ◽  
Feature Parameters

A method based on fusion of multiple features is proposed to assess and accurately describe the performance degradation of lithium-ion batteries in this paper. First, the discharge voltage signal of lithium-ion batteries under real-time monitoring is analyzed from the perspective of time domain and complexity to obtain the values of multiple features. Then, the multi-feature parameters undergo a spectral regression process to reduce the number of dimensions and to eliminate redundancy, and on the basis of this regression, a Gaussian mixture model is established to model the health state of batteries. Thus, the degree of lithium-ion battery performance degradation can be quantitatively assessed using the Bayesian inference-based distance metric. A case calculation experiment is carried out to verify the effectiveness of the method proposed in this paper. The experimental results demonstrate that, compared with other assessment methods, the performance degradation assessment method proposed in this paper can be used to monitor the degradation process of lithium-ion batteries more effectively and to improve the accuracy of condition monitoring of batteries, thereby providing powerful support for making maintenance decisions.

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