Based on rolling bearing fault signal modulation model in the process of spreading, an improved method that combining Hilbert envelop extraction algorithm and large parameter setting rules in stochastic resonance (SR) is proposed for features extraction. Firstly, Hilbert transform can effectively eliminate the interference of high frequency carrier signal. Secondly, parameters setting rules in ...

comparing the results of reasoning with the real menQualitative reasoning is a key technology for the model based fault detection, in which a part in failure is identified by comparing the results of reasoning with the real measured values. However, this approach has a problem of increasing possible patterns of behavior of the model enormously because of ambiguity of the qualitative reasoning. ...

In this work, a mathematical unifying framework for designing new fault detection schemes in nonlinear stochastic continuous-time dynamical systems is developed. These schemes are based on a stochastic process, called the residual, which reflects the system behavior and whose changes are to be detected. A quickest detection scheme for the residual is proposed, which is based on the computed lik...

In this article, an optimal timing fault tolerant control strategy is addressed for switched stochastic systems with unknown drift each switching point. The proposed controllers in existing schemes are not directly aimed at the system, which affects performance. A cost functional system state information and variable constructed. By solving time criterion, can accommodate fault. variational tec...

Analyzing fault diagnosability performance for a given model, before developing a diagnosis algorithm, can be used to answer questions like “How difficult is it to detect a fault fi?” or “How difficult is it to isolate a fault fi from a fault fj?”. The main contributions are the derivation of a measure, distinguishability, and a method for analyzing fault diagnosability performance of discrete-...

Fault detection and isolation in a complex system are research hotspots and frontier problems in the reliability engineering field. Fault identification can be regarded as a procedure of excavating key characteristics from massive failure data, then classifying and identifying fault samples. In this paper, based on the fundamental of feature extraction about the fault coefficient, we will discu...

Abstract In normally consolidated, shallow (depth <~3 km) siliciclastic sequences, faults develop clay smears. Existing models include the dependence of permeability on fraction, but improved predictions fault should account for uncertainty and anisotropy. We introduce PREDICT, a methodology that computes probability distributions directional components (dip-normal, strike-parallel, dip-...

Large mechanical equipment is subject to periodic vibrations in harsh operating environments for a long time. Bearing failure produces violent changes the behaviors of large rotating machinery as safety and reliability scene. Therefore, it especially significant effectively identify early bearing. Since signal bearing fault belongs low-frequency weak fault, hard classify characteristic frequenc...

A method is presented for deriving test suites with the guaranteed fault coverage for deterministic possibly partial Timed Finite State Machines (TFSMs). TFSMs have integer boundaries for time guards and the time reset operation at every transition; for TFSM implementations the upper bound on the number of states is known as well as the largest finite boundary and the smallest duration of time ...