Competing failure analysis in non-repairable binary systems subject to functional dependence

2012 ◽  
Vol 226 (4) ◽  
pp. 406-416 ◽  
Author(s):  
Liudong Xing ◽  
Chaonan Wang ◽  
Gregory Levitin
Keyword(s):  
Reliability Analysis ◽  
Binary Systems ◽  
Functional Dependence ◽  
Failure Behavior ◽  
Binary State ◽  
Dependent Component ◽  
Failure Propagation ◽  
Isolation Effects ◽  
The Time Domain ◽  
Component Failures

This paper considers competing failure propagation and isolation effects in the reliability analysis of systems with functional dependence, where the failure of some trigger component causes other components (referred to as dependent components) to become inaccessible or isolated from the system. A propagated failure originating from a dependent component could affect other parts of the system and thus cause the entire system to fail. However, if the trigger component fails first, the propagation of the dependent component failure can be prevented and thus it cannot affect the function of the rest of the system. In other words, propagated failures originating from dependent components in systems with functional dependence can have different consequences due to their competition with the failure of the trigger component in the time domain. This paper suggests a combinatorial method to address such competing failure behavior in the reliability analysis of non-repairable binary-state systems. Different from the work reported in the literature that assumes local and propagated failures of a component being mutually exclusive, the proposed method is applicable to independent and dependent local and propagated component failures. The system reliability analysis results for all the three cases (mutually exclusive, independent and dependent) are compared through a case study. The proposed method is verified through comparison with Markov-based methods.

Failure behavior of multi-state system considering functional and physical isolation effects

2021 ◽  
pp. 1748006X2110418
Author(s):  
Ying Chen ◽  
Ze Wang ◽  
Yanfang Wang ◽  
Rui Kang
Keyword(s):  
Transition Probabilities ◽  
Functional Dependence ◽  
Great Difficulty ◽  
Complex Stress ◽  
State System ◽  
Stress Conditions ◽  
State Transitions ◽  
Failure Behavior ◽  
Physical Isolation ◽  
Isolation Effects

The multi-state system (MSS) is a system that may exhibit multiple states or performance levels. Most existing studies assumed that the transition probabilities from states to states are known. However, in practical engineering, the complex stress conditions lead to great difficulty of collecting the statistical data of state transitions. In this paper, based on physics-of-failure theory, we consider different levels of damages caused by failure mechanisms (FMs) are the main reasons to components’ multiple states. Besides, the physical isolation (PI) effect on degradations of FMs is also studied, which is neglected in the existing studies about the MSS with functional dependence groups. Decision-diagram based methods are used for modeling the failure behavior of the MSS. An automatic collision avoidance system is analyzed for illustrating the proposed modeling and analyzing methods. The results show that comparing to the results without the consideration of PI effect, the probabilities of different states with PI effect of multi-state components and system may decrease or increase, which depends on the actual PI effects to the stress conditions.

A generalized model selection framework for multi-state failure data analysis

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajkumar Bhimgonda Patil ◽  
Suyog Subhash Patil ◽  
Gajanand Gupta ◽  
Anand K. Bewoor
Keyword(s):  
Data Analysis ◽  
Reliability Analysis ◽  
State System ◽  
Numerical Control ◽  
Failure Behavior ◽  
Class Iii ◽  
Content Type ◽  
Failure Data ◽  
Binary State ◽  
Design Attribute

PurposeThe purpose of this paper is to carry out a reliability analysis of a mechanical system considering the degraded states to get a proper understanding of system behavior and its propagation towards complete failure.Design/methodology/approachThe reliability analysis of computerized numerical control machine tools (CNCMTs) using a multi-state system (MSS) approach that considers various degraded states rather than a binary approach is carried out. The failures of the CNCMT are classified into five states: one fully operational state, three degraded states and one failed state.FindingsThe analysis of failure data collected from the field and tests conducted in the laboratory provided detailed understandings about the quality of the material and its failure behavior used in designing and the capability of the manufacturing system. The present work identified that Class II (major failure) is critical from a maintainability perspective whereas Class III (moderate failure) and Class IV (minor failure) are critical from a reliability perspective.Research limitations/implicationsThis research applies to reliability data analysis of systems that consider various degraded states.Practical implicationsMSS reliability analysis approach will help to identify various degraded states of the system that affect the performance and productivity and also to improve system reliability, availability and performance.Social implicationsIndustrial system designers recognized that reliability and maintainability is a critical design attribute. Reliability studies using the binary state approach are insufficient and incorrect for the systems with degraded failures states, and such analysis can give incorrect results, and increase the cost. The proposed MSS approach is more suitable for complex systems such as CNCMT rather than the binary-state system approach.Originality/valueThis paper presents a generalized framework MSS's failure and repair data analysis has been developed and applied to a CNCMT.

System Reliability Analysis in the Presence of Dependent Component Failures

1987 ◽  
Vol 1 (4) ◽  
pp. 425-440 ◽  
Author(s):  
Jane N. Hagstrom ◽  
King-Tim Mak
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Joint Probability ◽  
Computing System ◽  
Joint Probability Distribution ◽  
System Reliability Analysis ◽  
Dependent Failures ◽  
Dependent Component ◽  
Component Failures ◽  
The Impact

We consider the impact that the introduction of dependent component failures has on the computational difficulty of system reliability analysis. We develop general strategies for computing system reliability when components are subject to dependent failures. In the process, we identify a significant number of cases where computing the system reliability in the presence of dependent failures is not significantly harder than writing down the joint probability distribution and computing the system reliability when the components fail independently.

Paper 21: Planning for Failures

1969 ◽  
Vol 184 (2) ◽  
pp. 156-160
Author(s):  
R. H. W. Brook
Keyword(s):  
Reliability Analysis ◽  
Gas Turbine ◽  
Gas Turbine Engine ◽  
Failure Pattern ◽  
Management Decisions ◽  
Turbine Engine ◽  
The Cost ◽  
Service Data ◽  
Component Failures ◽  
Realistic Prediction

When a serious failure situation has developed, an expensive crash programme is usually required. If in-service data are analysed as a routine, then impending trouble may be foreseen and management decisions made to minimize the cost. A reliability analysis can help to establish a failure pattern compatible with intuitive engineering assessment so that, from a realistic prediction, alternative courses of action can be considered. A recent gas-turbine engine problem which has caused six component failures is analysed, and alternative replacement strategies are considered. It is suggested that to adopt the intuitive compromise strategy could be the most expensive in this case.

Modeling multi-state system reliability analysis in a power station under fatal and nonfatal shocks: a simulation approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Reza Pourhassan ◽  
Sadigh Raissi ◽  
Arash Apornak
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
System Performance ◽  
Failure Process ◽  
State System ◽  
Failure Behavior ◽  
Simulation Approach ◽  
Critical System ◽  
Content Type ◽  
System Reliability Analysis

PurposeIn some environments, the failure rate of a system depends not only on time but also on the system condition, such as vibrational level, efficiency and the number of random shocks, each of which causes failure. In this situation, systems can keep working, though they fail gradually. So, the purpose of this paper is modeling multi-state system reliability analysis in capacitor bank under fatal and nonfatal shocks by a simulation approach.Design/methodology/approachIn some situations, there may be several levels of failure where the system performance diminishes gradually. However, if the level of failure is beyond a certain threshold, the system may stop working. Transition from one faulty stage to the next can lead the system to more rapid degradation. Thus, in failure analysis, the authors need to consider the transition rate from these stages in order to model the failure process.FindingsThis study aims to perform multi-state system reliability analysis in energy storage facilities of SAIPA Corporation. This is performed to extract a predictive model for failure behavior as well as to analyze the effect of shocks on deterioration. The results indicate that the reliability of the system improved by 6%.Originality/valueThe results of this study can provide more confidence for critical system designers who are engaged on the proper system performance beyond economic design.

Ausfallanalyse von Werkzeugmaschinen*/A reliability analysis of machine tools - Total Cost of Ownership 2.0 in relation to the application

2017 ◽  
Vol 107 (07-08) ◽  
pp. 507-510
Author(s):  
T. Stähr ◽  
G. Prof. Lanza
Keyword(s):  
Machine Tool ◽  
Reliability Analysis ◽  
Machine Tools ◽  
Economic Cost ◽  
Lifetime Prediction ◽  
Failure Behavior ◽  
Cost Consideration ◽  
Total Cost Of Ownership ◽  
Total Cost ◽  
Cost Of Ownership

Realitätsnahe Lebensdauerprognosen sind für eine ganzheitliche, betriebswirtschaftliche Kostenbetrachtung sehr wichtig. Wirtschaft und Forschung bemühen sich seit Langem, die Total Cost of Ownership (TCO) von Werkzeugmaschinen zu berücksichtigen. Eine Umfrage unter Herstellern und Betreibern von Werkzeugmaschinen analysiert Verbreitung, erwartete Potentiale sowie Hemmnisse von TCO-Betrachtungen. Anhand der Anforderungen der Branche wurde ein Modell mit Fokus auf der belastungsabhängigen Beschreibung des Ausfallverhaltens von Maschinen und Anlagen entwickelt, das in bestehende Standards eingebettet werden kann.   A realistic lifetime prediction is highly valued in a holistic economic cost consideration. For years, industry and research have endeavored to consider the Total Cost of Ownership (TCO) of a machine tool. A survey of manufacturers and operators of machine tools analyzes distribution, expected potential and obstacles of TCO. Based on the identified requirements, a model that can be integrated into existing standards has been developed. It focuses on failure behavior of machines and plants, taking stresses into account.

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