Abstract Gear fault diagnosis technologies have received rapid development and been effectively implemented in many engineering applications. However, the various working conditions would degrade diagnostic performance make gear (GFD) more challenging. In this paper, a novel model parameter transfer (NMPT) is proposed to boost of GFD under varying conditions. Based on previous strategy that con...

The NNW-trending Dena Fault, with 140 km length, cuts the major structures of Zagros Fold-Thrust Belt in Borujen region. The fault has divided the region in two zones, in which different structural, andmorphological features as well assedimentation and seismtectonic characteristics have developed. This study presents a new interpretation for the kinematics of Dena Fault based on field evidence....

The characteristics of a series direct current (DC) arc-fault including both electrical and thermal parameters were investigated based on an arc-fault simulator to provide references for multi-parameter electrical fire detection method. Tests on arc fault behavior with three different initial circuit voltages, resistances and arc gaps were conducted, respectively. The influences of circuit cond...

Due to their starting and running torque needs as well four-quadrant operation, modern industrial drives utilise induction motors (IM). Failures in the rotor bars of motor can be found using voltages currents each three phases acceleration velocity signals. For diagnosis quantity broken for a failed IM, conventional signal processing-based feature extraction techniques machine learning algorith...

This paper deals with parameter fault diagnosis in heat exchange networks (HENs) joining and splitting connections where the change transfer coefficient is considered as fault. The oriented model of HEN elements was developed based on equivalent LTI realization distributed delay models. Signed Directed Graph (SDG) method used to derive observability conditions. presence faults induces bilinear ...

The integrated circuits design flow is rapidly moving towards higher description levels. However, test-related activities are lacking behind this trend, mainly since effective fault models and test signals generators are still missing. This paper proposes ARPIA, a new simulation-based evolutionary test generator. ARPIA adopts an innovative high-level fault model that enables efficient fault sim...

Abstract A fault diagnosis approach for roller bearings utilizing deep transfer learning and adaptive weighting is suggested to address the issue that extra state samples in target domain data of impair diagnostic accuracy. CNN-LSTM a network model proposed by Lecun et al., which has good performance image processing processing. It can effectively apply predictive local perception time series w...