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Multi-State System (MSS) is mathematical model of investigated object in reliability analysis. MSS allows present the investigated object in more detail than traditional Binary-State System. The importance analysis allows MSS reliability estimation depending on the system structure and its components states. Importance measures quantify the criticality of a particular component. They have been widely...
The paper presents a possibility of observation of singular values evolving in time as quantities carrying diagnostic information. To prove the usefulness of singular values for this purpose many numerical simulations have been conducted. It has been proved that when observing changes of singular values obtained from SVD during the lifetime of a machine, the appearance of reversal points must be taken...
With the analysis of system failure process, five states of each component are proposed for repairable complicated system, namely the operating state, the repairing state, the failed and waiting repair state, the repaired and inactive active state, and the state of taken out of operating. Using the method of component state trace, a calculating method of system normal or failed states is presented...
Fault tree analysis (FTA) is a popular methodology for system reliability analysis. The occurrence probability of the basic event is accurate in traditional fault tree (FT). Owe to the lack of the reliability data, especially in early design stage; a large amount of uncertainties may be included in FTA. In this study, the Dempster-Shafer (D-S) evidence theory is employed to quantify the uncertainty...
To better decide the sequence of ammunition sort choice when one object is attacked by several kinds of ammunitions, that is the ammunition target matching problem for artillery field. In this paper, first depicting ammunition damage effect and target anti-damage effect and constructing the ammunition target matching index system. Then, rough set theory was applied to reduce the index system and determine...
A new gearbox fault prognosis scheme based on continuous hidden Markov model (CHMM) and support vector machine (SVM) is developed. Based on the features which are the energies of intrinsic mode functions (IMFs) decomposed by empirical mode decomposition (EMD) extracted from normal gearbox vibration signal, a CHMM is trained to model the normal condition. The logarithm of the probability of this CHMM...
Real-time reliability assessment methods make it possible to asset system reliability on-line, which promote the development of the reliability research. A new method of real-time reliability assessment based on support vector regression (SVR) and Bayes is put forward in this paper. Firstly, principles of SVR and Bayes methods are particularly introduced, and then a model of real-time reliability...
The projection pursuit classification method is used to study the decision-making of plane's maintenance program, the optimal program is determined to improve the scientific of decision-making. Simulation examples show that the method is reasonable and effective.
Reliability design of an aeroengine burner inner-liner is carried out using a bi-variant Lagrange factor polynomial approach. Thermal stress-dependent strength is represented by a discrete random variable that has different conditional probability mean functions under different thermal stress amplitudes. Then the LFP technique is developed to generate the stress-strength interference model with thermal...
In this research, a stress-strength interference model is developed based on bi-variant Lagrange factor polynomial approach. The first discrete random variable is the independent stress. Thermal stress-dependent strength is represented by the second discrete random variable that has different conditional probability mean functions depending on different stress amplitudes. Then the approach is used...
The reliability analysis of tracking, telemetry and command (TT&C) system is very important for performing space mission successfully. Essentially, the TT&C system can be regarded as a phased-mission system (PMS). In this paper, Markov approach is used to construct a distinct model for each phase of the system and a separate evaluation for each of these models. This paper shows: (1) a method...
Traditional battlefield damage assessment and repair training system focuses on the damage assessment. It ignores the battlefield environment. And the training task is selected randomly. The efficient of this training system is poor. Especially, it doesn't suit to the emergency training for BDAR. A new method based on CBR for BDAR training task generating is proposed. The frame technology is used...
The increasing complexity of engineering systems has sparked rising interests in multidisciplinary design optimization (MDO). However, the main challenges in MDO are its computational expense and complexity structure. Therefore, to address these challenges, this paper focuses on a new MDO method, interaction prediction optimization approach, which is a design architecture applied in the multidisciplinary...
This paper gives an analysis of the reliability test data of 6 types of armament with fuzzy comprehensive evaluation, the degrees of reliability of the 6 tested armaments are obtained through fuzzy comprehensive evaluation and cluster analysis, and the basis for model selection in aspect of reliability is given. The calculation result shows that it is practicable to adopt fuzzy mathematics in research...
It is essential to evaluate shipborne gun's maintainability design schemes during its scheme design phase. Experts usually present linguistic labels to express their opinions on this kind of problem. The method of uncertain linguistic multiple-attribute decision making applies to the maintainability design scheme evaluation. In this paper we first introduce the operations and relations of uncertain...
With the increase of amount of vehicles and their emissions all over the world, the global environment is now under great threat due to the Greenhouse Effects. Moreover, the acceleration of production and sales of the conventional vehicles will probably lead to an energy crisis. By the means of the Fuzzy Comprehensive Evaluation(FCE) and the methods of Analytic Hierarchy Process (AHP), the influencing...
In the paper the new results of the safety investigations of the multistate complex systems with dependent components in variable operation conditions called critical infrastructures are presented. The multi-state safety function of the critical infrastructure system is defined and determined for an exemplary critical infrastructure. In the developed models, it is assumed that the system components...
In order to control the maintenance process effectively and improve the maintenance quality, model for quality control points of equipment maintenance process is formulated in this paper. By analyzing the process of equipment maintenance systematically, Control elements of the process are selected as the control targets to build the equipment maintenance process quality control point model. Therefore...
The methods of the reliability prediction and optimization of complex technical systems related to their operation processes are presented. The general model of the reliability of complex technical systems linking the semi-Markov modeling of their operation processes with the multi-state approach to their reliability analysis and the linear programming are applied to the reliability and risk prediction...
Evaluating probabilistic constraints plays a very important role in the reliability-based design optimization (RBDO). Traditional Monte Carlo simulation-based approach can provide a high accuracy but with low efficiency. In this paper, a subset simulation-based reliability analysis approach is provided to address the efficiency problem. The method is also compared with the typical MPP-based method.
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