Current health as a general health indicator II:Evaluation of reliability and validity

1995 ◽  
Vol 13 (1) ◽  
pp. 21-25 ◽  
Author(s):  
Niels Bentzen ◽  
Terkel Christiansen
Keyword(s):  
General Health ◽  
Reliability And Validity ◽  
Health Indicator ◽  
Current Health

scholarly journals Epidemiological pattern of tattoo skin disease: a potential general health indicator for cetaceans

2009 ◽  
Vol 85 ◽  
pp. 225-237 ◽  
Author(s):  
MF Van Bressem ◽  
K Van Waerebeek ◽  
FJ Aznar ◽  
JA Raga ◽  
PD Jepson ◽  
...  
Keyword(s):  
Skin Disease ◽  
General Health ◽  
Health Indicator ◽  
Epidemiological Pattern

scholarly journals Spanish versión of the Short Depression-Happiness Scale (SDHS): A Reliability and Validity study in a simple of Spanish Elderly People [Adaptación española de la escala breve de depresión-felicidad: un estudio de validación y fiabilidad en una muestra de personas mayores]

2018 ◽  
Vol 15 (1) ◽  
pp. 17 ◽  
Author(s):  
Diego Lomas Martínez ◽  
Juan José Fernández Muñoz ◽  
Esperanza Navarro-Pardo
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Elderly People ◽  
General Health ◽  
Depression Scale ◽  
Reliability And Validity ◽  
Epidemiological Studies ◽  
Model Fit ◽  
Validity Study ◽  
Practical Implications

AbstractThe psychometric properties of the Short Depression-Happiness Scale (SDHS) were analyzed in a sample of 216 Spanish elderly people with an average age of 73.89 (SD = 6.49). An exploratory factor analysis and confirm­atory factor analysis were developed in order to identify the factorial solution and the best model fit. Just on factor was identified. Regarding reliability and validity, internal consistency index was .757 and the correlation between the Short Depression-Happiness Scale (SDHS) and measures of others construct, General Health Question­naire (GHQ) and Center for Epidemiological Studies Depression Scale (CESD) (CESD), were significance. The practical implications of the scale and the index values obtained are discussed.  ResumenSe analizaron las propiedades psicométricas de la Short Depression-Happiness Scale (SDHS) en una muestra de 216 mayores con una edad promedio de 73.89 (DT = 6.49). Se realizó un análisis factorial exploratorio y confirmatorio para identificar la estructura factorial y el mejor ajuste del modelo. La solución estaba compuesta de un único factor.  Con respecto a la fiabilidad y vali­dez, el índice de consistencia interna fue de .757 y la correlación entre la Escala Breve de depresión-felicidad y las medidas de otros constructos, entre otros, el Cues­tionario de Salud General (GHQ) y el Centro de Escala de Depresión de Estudios Epidemiológicos (CESD) fue­ron significantes. Se discuten las implicaciones prácticas de la escala y los valores de los índices obtenidos.

scholarly journals Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yuhuang Zheng
Keyword(s):  
Health Management ◽  
Detection Threshold ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Health State ◽  
Health Indicator ◽  
Degradation Model ◽  
Vibration Signals ◽  
Current Health ◽  
Useful Life

Prognostics health management (PHM) of rotating machinery has become an important process for increasing reliability and reducing machine malfunctions in industry. Bearings are one of the most important equipment parts and are also one of the most common failure points. To assess the degradation of a machine, this paper presents a bearing remaining useful life (RUL) prediction method. The method relies on a novel health indicator and a linear degradation model to predict bearing RUL. The health indicator is extracted by using Hilbert–Huang entropy to process horizontal vibration signals obtained from bearings. We present a linear degradation model to estimate RUL using this health indicator. In the training phase, the degradation detection threshold and the failure threshold of this model are estimated by the distribution of 600 bootstrapped samples. These bootstrapped samples are taken from the six training sets. In the test phase, the health indicator and the model are used to estimate the bearing’s current health state and predict its RUL. This method is suitable for the degradation of bearings. The experimental results show that this method can effectively monitor bearing degradation and predict its RUL.

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