With increasing customer demand, industry 4.0 gained a lot of interest, which is based on smart factories. In factories, robotic components are vulnerable to failure due various industrial operations such as assembly, manufacturing, and product handling. Timely fault detection diagnosis (FDD) important keep the operation smooth. Previously, only unloaded-based FDD algorithms were considered for...

With the development of information technology and sensor technology, people have paid more attention to data-driven fault diagnosis. As one commonly used methods in diagnosis, deep learning has achieved significant results. However, engineering practice, insufficient number labeled samples for diagnosis poor targeting extracted features lead a limited structural depth models inadequate model t...

Fault diagnosis is essential for assuring the safety and dependability of rotating machinery systems. Several emerging techniques, especially artificial intelligence-based technologies, are used to overcome difficulties in this field. In most engineering scenarios, machines perform normal conditions, which implies that fault data may be hard acquire limited. Therefore, imbalance deficiency labe...

Deep learning methods have become popular among researchers in the field of fault detection. However, their performance depends on availability big datasets. To overcome this problem started applying transfer to achieve good from small available datasets, by leveraging multiple prediction models over similar machines and working conditions. influence negative limits application. Negative increa...

The reliable transfer in network on chip can be guaranteed by crosstalk avoidance and error detection code. In this paper, we propose a joint coding scheme combined with crosstalk avoidance coding with error control coding. The Fibonacci numeral system is applied to satisfy the requirement of crosstalk avoidance coding, and the error detection is achieved by adding parity bits. We also implemen...

We demonstrate single-shot qubit readout with a fidelity sufficient for fault-tolerant quantum computation. For an optical qubit stored in 40Ca+ we achieve 99.991(1)% average readout fidelity in 10(6) trials, using time-resolved photon counting. An adaptive measurement technique allows 99.99% fidelity to be reached in 145 micros average detection time. For 43Ca+, we propose and implement an opt...

A coupled inductor can optimize the weight of a DC/DC converter while performance characteristics are complicated. To reduce influence system fault and keep stable operation converter, fault-tolerant strategy is proposed. Firstly, mathematic model obtained to compare difference between normal converter. Then, an open-circuit process analyzed for detection. design proper control system, transfer...