Intermittent faults occur randomly, last for short durations, and ultimately lead to permanent failures, threatening the safety stability of analog circuits. Additionally, these are often hard differentiate from noise-induced anomalies, resulting in incorrect disassembly complicating circuit maintenance. To address challenges, we propose a novel fault diagnosis method. The method uses an adjustable sliding window extract multiscale fuzzy entropy features, mitigating impact normal data on...

State-of-health (SOH) assessment and remaining useful life (RUL) estimation are among the key issues in prognostics health management (PHM) for electronic systems. Unlike mechanical systems, homogeneity of fault modes is quite low Seen at system level, there also multiple uncertain products. In this paper, we propose a novel methodology system-level SOH RUL inspired by quantum mechanics disciplines, where no requirement to distinguish from development patterns. It developed on analogy that...

Summary Fault diagnosis of analog circuits is more challenging compared with digital as a result the parametric deviation and difficulty in signal discretization. There still lacks effective approaches to realize reliable fault detection isolation for comprehensive diagnosis. A new technique called multi‐valued Fisher's fuzzy decision tree (MFFDT) proposed this paper solve problem. This uses model incorporates linear discriminant principles. The fuzzification mechanism devised discretize...

Traditional decision trees for fault diagnosis often use an ID3 construction algorithm. For promoting the accuracy and efficiency of trees, considering cluster validity rates, this paper proposes two improved CV-DTs FR-DTs. This mainly has highlights. The first highlight is to propose a CV-DT which constructed by algorithm index. A new index can compare validities different attributes proposed modify information gain. method selects splitting with higher classification credibility increases...

This paper presents a novel combined method for analog circuit fault diagnosis based on dependence matrices and intelligent classifiers (DM-IC). The main purpose of this is to obtain preliminary ambiguity groups by constructing matrix, achieve more accurate diagnostic result using several simple classifiers. Considering the presence imperfect test points, new 0-1-X matrix defined an expansion-reduction algorithm proposed groups. For each these groups, separability discrimination analysis...

Temporal information is fundamental in model-based fault diagnosis, and the alarm-processing problem to interpret alarm sequences infer type time of event occurrences. There can be cycles or feedback loops real power systems, but reasoning methods for such cases are seldom considered literature. This paper provides an analytic model based on improved temporal constraint network. The method dependent point distance information, with which motivators (or actuators) responders victims)...

Prognostics and system health management (PHM) conceptually integrates the advanced sensing signal processing technology to predict occurrence time of faults in airline industry. A discrete-event logistics (DELS) simulation model provides an effective way evaluate overall performance by modeling behaviors. However, when taking PHM into account, DELS would be more complicated, there lacks related research on how establish a fulfilling requirement. This paper proposes framework establishing...

Built-in tests (BITs) are widely used in manufacturing and production systems to find whether system failures occur, whereas the problem of BIT false alarms caused by intermittent adds much trouble for precise failure detection diagnosis. Fighting with is an urgent issue. However, nature temporal regularity not fully exploited, as well relationship between alarms. The present paper introduces method constructing test profile alarm assessments. Probabilistic models proposed evolution process,...

Traditional machine learning methods work well under a general assumption that the training data and testing should be drawn from same distribution. However, this does not hold in many real-world applications. For two structure-similar but specification-different connectors with intermittent fault, one connector has sufficient fault severity labeled another no data. In situation, evaluation model trained by samples former will have large errors for latter connector. realizing transfer of...

Built-in tests (BITs) are widely used in mechanical systems to detect and diagnose a fault, whereas the BIT false alarms bring much trouble for precise fault diagnosis logistics/maintenance arrangement. The alarm phenomenon is related degradation over time, evolution process can be typically divided into three stages. This paper proposes condition-based multistage detection reduction method systems. stages clarified according level severity. dividing boundaries of optimized using soft margin...

The feature of testability model and fault tree is analyzed. Based on dependency matrix tree, a new method diagnostic design for system-level faults proposed. principle this given. related definitions condition assumptions are described in detail. These include standard extended matrix, detection weight, isolation so on. Two key algorithms the overall flow described. generation algorithm algorithm. Finally, case given to verify method. results show that can efficiently generate faults.

Abstract This paper is devoted to measuring the continuous diagnosis capability of a system. A key metric and its calculation models are proposed enabling us measure system directly without establishing searching sequential fault tree (SFT) At first description D matrix given defined determine weakness diagnosis. Then based on definition combination, with establishment process summarized. SFT established Two basic types dependency graphical (DGMs) one combination type DGM selected for...

Fault diagnosis, including fault detection and isolation, is a critical task for computer networks. Among the various techniques used online system-level we are interested in approach based on temporal information processing. The delays of networks inevitable, localization process has to take into account bounded or constraints. Temporal fundamental model-based diagnosis. There can be cycles loops network, but reasoning methods such cases seldom considered literature. This paper provides an...