Acceleration-Based Remaining Life Prognostics for Terrain-Loaded Components on an Army Ground Vehicle System

2009 ◽  
Vol 52 (2) ◽  
pp. 40-49 ◽  
Author(s):  
Richard Heine ◽  
Donald Barker
Keyword(s):  
Department Of Defense ◽  
Remaining Life ◽  
Ground Vehicle ◽  
Wheeled Vehicle ◽  
Vehicle System ◽  
Acceleration Sensors ◽  
And Performance ◽  
Critical Components ◽  
The Military ◽  
Wheeled Vehicles

Use of a health and usage monitoring system (HUMS) is one method the Department of Defense is investigating to meet conflicting cost and performance goals for Army wheeled vehicles. One area where a HUMS would be of great benefit is monitoring critical components vulnerable to terrain-induced fatigue. While strain is typically the desired input to a fatigue model, acceleration sensors are less susceptible to damage from the military ground vehicle environment and provide more reliable data over long periods of usage. The feasibility of using vibratory inputs from an accelerometer to make component fatigue predictions for a military wheeled vehicle system is explored in this study, and the use of limited subsets of data for algorithm training are evaluated. An example component is used to demonstrate that the proposed HUMS algorithms are appropriate and provide suitably accurate fatigue predictions.

Health and Usage Monitoring Algorithm Based on Terrain Identification for Mechanical Components on an Army Ground Vehicle System

2008 ◽  
Vol 51 (2) ◽  
pp. 31-41 ◽  
Author(s):  
Richard Heine ◽  
Donald Barker
Keyword(s):  
Unit Cost ◽  
Monitoring Systems ◽  
Statistical Parameters ◽  
Ground Vehicle ◽  
Wheeled Vehicle ◽  
Vehicle System ◽  
Basic Set ◽  
Vehicle Systems ◽  
Monitoring Algorithm

The desire for enhanced functionality of Army vehicle systems has resulted in increasingly complex systems. This drive is in direct contention with another Army goal of improved reliability. Health and usage monitoring systems (HUMS) and remaining-life prognostics are being developed to address these conflicting goals. One of the major challenges of applying a HUMS to an Army wheeled vehicle system is that the development and per unit cost of the HUMS needs to be relatively low in comparison with typical high-cost applications such as aircraft. Simplified algorithms that derive terrain exposure from a basic set of sensors and estimate fatigue damage accumulated on components where loading comes primarily from terrain have been developed to meet this need. Various inputs and statistical parameters are evaluated for this model based on accuracy of terrain identification and quality of fatigue prediction on an example component. The generalized process and recommendations for application of this model to military ground vehicle systems are discussed.

Study on the Adoption of Competence as a Purpose of the Training of Forces

2020 ◽  
Vol 26 (2) ◽  
pp. 342-345
Author(s):  
Benoni Sfârlog ◽  
Ștefania Bumbuc ◽  
Constantin Grigoraș
Keyword(s):  
Professional Development ◽  
New Paradigm ◽  
And Performance ◽  
The Military

AbstractIn recent decades, a new paradigm marks the conceptual transformation through which competencies take the place of objectives in education, in general and in training and professional development, in particular. It becomes necessary and useful to analyze the necessity, possibility and opportunity of focusing the instruction on competences. Thus they acquire, in an integrative way, the triple state of a referential system for quality and performance in the military actions, of the objective of the instructive-formative process, and of the result of learning.

Military Postal Service Task Group. Recommendations Regarding the Military Postal System of the Department of Defense.

2005 ◽  
Author(s):  
Barbara Barrett ◽  
James Kimsey ◽  
Arnold Punaro ◽  
Dov Zakheim ◽  
Henry Dreifus ◽  
...  
Keyword(s):  
Department Of Defense ◽  
Task Group ◽  
Postal Service ◽  
Group Recommendations ◽  
The Military ◽  
Service Task

Effectiveness of the running system of a wheeled vehicle

2020 ◽  
pp. 16-22
Author(s):  
D.A. Dubovik
Keyword(s):  
Steering Wheel ◽  
Steering Control ◽  
Control Effectiveness ◽  
Power Drive ◽  
Running System ◽  
Wheeled Vehicle ◽  
Curvilinear Motion ◽  
Wheeled Vehicles ◽  
System Power ◽  
Effectiveness Coefficient

A method for quantitative assessment of the effectiveness of the running system of wheeled vehicles for the general case of curvilinear motion is proposed. An expression is obtained for calculating the coefficient of efficiency of the running system of a wheeled vehicle, taking into account the parameters of the power and steering wheel drives. The results of evaluating the effectiveness of the running system of an off-road vehicle with a wheel arrangement of 8Ѕ8 and two front steerable axles are presented. Keywords: wheeled vehicle, running system, power drive, drive wheels, steering control, effectiveness, coefficient of efficiency. [email protected]

On improving the training of aircraft engineers

2021 ◽  
Vol 20 (5) ◽  
pp. 865-885
Author(s):  
Leonid B. SOBOLEV
Keyword(s):  
Aviation Industry ◽  
Information Protection ◽  
Global Trends ◽  
Space Industry ◽  
The Poor ◽  
Military Aviation ◽  
And Performance ◽  
Performance Results ◽  
The Military ◽  
The U.S

Subject. The article continues the discussion about the method of training aircraft engineers to work in the military and civil segments of aviation and rocket-and-space industry. Objectives. The purpose is to improve the training of Russian engineers to work in the competitive market environment, on the basis of the analysis of experience in training the aviation engineers in leading foreign technical universities. Methods. The study rests on the comparative analysis of implementation of major projects in the military and civil segments of aviation in the U.S. and Russia, as well as programs for training aircraft engineers in both countries. Results. The analysis shows that the duration of modern large military aviation projects in both countries is the same (the comparison of cost is impossible, due to information protection in Russia), while in the civil segment of the aviation industry, Russia's lagging behind is significant both in terms of the duration of projects and performance results. One of the reasons is in the poor training of aircraft engineers to work in the competitive environment. Conclusions. It is crucial to reform Russian aviation universities in terms of conformity to global trends in multidisciplinarity and differentiation of financing and research base.

Consideration of Demographics and Variance in Regression Approaches to Estimating Body Dimensions for Spatial Analysis of Design

2010 ◽  
Vol 132 (2) ◽  
Author(s):  
Gopal Nadadur ◽  
Matthew B. Parkinson
Keyword(s):  
Regression Model ◽  
Target Population ◽  
Residual Variance ◽  
Use Of Data ◽  
Target User ◽  
Digital Human Models ◽  
And Performance ◽  
Marginal Improvement ◽  
The Military ◽  
Digital Human

A common objective in designing for human variability is to consider the variability in body size and shape of the target user population. Since anthropometric data specific to the user population of interest are seldom available, the variability is approximated. This is done in a number of ways, including the use of data from populations that are well-documented (e.g., the military), proportionality constants, and digital human models. These approaches have specific limitations, including a failure to consider the effects of lifestyle and demography, resulting in products, tasks, and environments that are inappropriately sized for the actual user population, causing problems with safety, fit, and performance. This paper explores a regression-based approach in a context where the demographic distributions of descriptors (e.g., race/ethnicity, age, and fitness) are dissimilar for the database and target population. Also examined is a stratified regression model involving the development of independent anthropometry-estimation models for each racial group. When using regression with residual variance, stratification on the predictor demographics to obtain estimates of gender, stature, and BMI distributions is shown to be sufficiently robust for usual database-target population combinations. Consideration of demographic variables in development of the regression model provides marginal improvement, but could be appropriate in specific situations.

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