it is important to reduce keeping costs and hold up unscheduled downtimes for machinery. So knowledge of what, where and how faults occur is very important. In machine rotation and machine learning Fault diagnosis and detection are important rule. In this paper offer a method based on kernel method that using in fault occur. For this reason create kernel by wavelet packet with associate rule mi...

An investigation into the vibration characteristics of a ‘Roots and Claws’ based dry vacuum pump under different operating conditions was conducted. An AutoRegressive (AR)-based condition monitoring algorithm was developed and tested on both a fault-free and a pump with an implanted ceramic bearing with an inner race defect at the High Vacuum (HV) end. The investigation provided some in-depth u...

In the case of one phase failure, the switched reluctance motor (SRM) will behave nearly the same, both in open circuit and in short circuit failure. This means, that the machine will understand the two faults in the same way which makes the SRM faults detection and diagnosis a more challenging task. In this paper, a diagnosis method based on statistical pattern recognition (PR) analysis associ...

There is a need for better integration of the fault tolerant and the control designs for safety critical systems such as aircraft. The dependability of current designs is assessed primarily with measures of the interconnection of fault tolerant components: the reliability function and the mean time to failure. These measures do not directly take into account the interaction of the fault toleran...

Semiotic analysis is often used for describing the inter-relationship of structure, function and behavior of any artifacts as the means for designing various computerized tools for machine diagnosis and operation procedure. In this study, a graphical method called Multilevel Flow Models (MFM) is applied for supporting machine maintenance work of commercially available Micro Gas Turbine System (...

In actual application, sensors are prone to failure because of harsh environments, battery drain, and sensor aging. Sensor fault location is an important step for follow-up sensor fault detection. In this paper, two new multi-level wavelet Shannon entropies (multi-level wavelet time Shannon entropy and multi-level wavelet time-energy Shannon entropy) are defined. They take full advantage of sen...

Fault pattern identification is a crucial step for the intelligent fault diagnosis of real-time health conditions in monitoring a mechanical system. However, many challenges exist in extracting the effective feature from vibration signals for fault recognition. A new feature fusion method is proposed in this study to extract new features using kernel joint that is composed of original features ...

Fault tree analysis (FTA) has been used in the chemical process industry (CPI) for systematic safety and reliability analysis during the past decades. Conventional manual construction of fault trees can be extremely time consuming and vulnerable to human error. A computer-aided fault tree synthesis methodology can be an initial step, or as an independent check to assist or supplement manual FTA...

We present sound and (deterministically) complete algorithms for stepwise design of two families ofmultitolerant programs in a high atomicity program model, where a program can read and write all itsvariables in an atomic step. We illustrate that if one needs to add failsafe (respectively, nonmasking)fault-tolerance to one class of faults and masking fault-tolerance to another c...

Abstract We present an automated system repair framework for cyber-physical systems. The proposed consists of three main steps: (1) simulation and fault detection to generate a labeled dataset, (2) identification the repairable temporal properties leading faulty behavior (3) repairing avoid occurrence cause identified in second step. express as past time signal logic (ptSTL) formula efficient m...