A5101929509- VLSI and FPGA Design Techniques
- VLSI and Analog Circuit Testing
- Low-power high-performance VLSI design
- 3D IC and TSV technologies
- Advancements in Photolithography Techniques
- Interconnection Networks and Systems
- Parallel Computing and Optimization Techniques
- Reliability and Maintenance Optimization
- Machine Fault Diagnosis Techniques
- Embedded Systems Design Techniques
- Advanced Statistical Process Monitoring
- Advanced Multi-Objective Optimization Algorithms
- Advanced Battery Technologies Research
- Electromagnetic Compatibility and Noise Suppression
- Fault Detection and Control Systems
- Advanced Statistical Methods and Models
- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
- Higher Education and Teaching Methods
- Semiconductor materials and devices
- Software Reliability and Analysis Research
- Probabilistic and Robust Engineering Design
- Stability and Control of Uncertain Systems
- Copper Interconnects and Reliability
- Advanced Measurement and Metrology Techniques
China Datang Corporation (China)
2024-2025
Meta (United States)
2024
Hong Kong Polytechnic University
2005-2024
Henan Polytechnic University
2024
Guangzhou Medical University
2024
Science Systems and Applications (United States)
2024
Beihang University
2024
Fudan University
2024
Institute of Semiconductors
2024
Second Affiliated Hospital of Guangzhou Medical University
2024
Lithium-ion batteries are critical components to provide power sources for commercial products. To ensure a high reliability of lithium-ion batteries, prognostic actions should be prepared. In this paper, method is proposed predict the remaining useful life (RUL) batteries. A state-space model battery capacity first constructed assess degradation. Then, spherical cubature particle filter (SCPF) introduced solve model. The major idea SCPF adapt integration-based Kalman an importance function...
We propose a flexible yet computationally efficient approach for building Gaussian process models computer experiments with both qualitative and quantitative factors. This uses the hypersphere parameterization to model correlations of factors, thus avoiding need directly solving optimization problems positive definite constraints. The effectiveness proposed method is successfully illustrated by several examples.
To develop a cost-effective condition-based maintenance strategy, accurate prediction of the Remaining Useful Life (RUL) is key. It known that many failure mechanisms in engineering can be traced back to some underlying degradation processes. This article proposes two-stage prognostic framework for individual units subject hard failure, based on joint modeling signals and time-to-event data. The proposed algorithm features low computational load, online prediction, dynamic updating. Its...
This paper proposes a wavelet-based statistical signal detection approach for monitoring and diagnosis of bearing compound faults at an early stage. The vibration is decomposed by orthonormal discrete wavelet transform to obtain its energy dispersions multiple levels. We investigate the properties under both normal faulty conditions, based on which generalized likelihood ratio test developed. An exponentially weighted moving average control chart then constructed detect Simulation studies...
Degradation is one of the major root causes system failure. In some applications, degradation levels are different upon failure, in which fixed failure threshold assumption commonly adopted literature may not hold. This article tackles difficulty by jointly analyzing and lifetime data, enables corresponding remaining useful life (RUL) prediction. We treat level as a multiplicative time-varying covariate hazard rate, where random-effects Wiener process to model process. The parameters...
Thermal issues are a primary concern in the three-dimensional (3D) integrated circuit (IC) design. Temperature, area, and wire length must be simultaneously optimized during 3D floorplanning, significantly increasing optimization complexity. Most existing floorplanners use combinatorial stochastic techniques, hampering performance scalability when used for floorplanning. In this work, we propose evaluate scalable, temperature-aware, force-directed fioorplanner called 3D-STAF. Force-directed...
Routability is one of the primary objectives in placement. There have been many researches on forecasting routing problems and improving routability placement but no perfect solution found. Most traditional routability-driven placers aim to improve global result, true lies detailed routing. Predicting extremely difficult due complexity uncertainty In this paper, we propose a new prediction model based supervised learning. After extracting key features routing, multivariate adaptive...
Thermal issues are a primary concern in the threedimensional (3D) integrated circuit (IC) design. Temperature, area, and wire length must be simultaneously optimized during 3D floorplanning, significantly increasing optimization complexity. Most existing floorplanners use combinatorial stochastic techniques, hampering performance scalability when used for floorplanning. In this work, we propose evaluate scalable, temperature-aware, force-directed floorplanner called 3D-STAF. Force-directed...
Vibration sensor data from a mechanical system are often associated with important measurement information useful for machinery fault diagnosis. However, in practice the existence of background noise makes it difficult to identify signature sensing data. This paper introduces time-frequency manifold (TFM) concept into denoising and proposes novel method reliable The TFM reflects intrinsic structure non-stationary signal. proposed intends realize by synthesizing using synthesis phase space...
Failure prognosis plays an important role in effective condition-based maintenance. In this paper, we evaluate and compare the hard failure prediction accuracy of three types prognostic methods that are based on mixed effect models: degradation-signal model with deterministic threshold (DSPM), random (RDSPM), joint (JPM). work, performance is measured by mean squared error, power prediction. We have analyzed characteristics methods, provided insights to comparison results through both...
Three-dimensional (3-D) IC physical design problems are usually of higher complexity, with a greatly enlarged solution space due to multiple device structure. In this paper, new 3-D floorplanning algorithm is proposed for wirelength optimization. Our main contributions and results can be summarized as follows. First, hierarchical flow inter-layer partitioning method. The blocks partitioned into different layers before floorplanning. A simulated annealing (SA) engine used partition the...
Incorporating thermal vias into 3D ICs is a promising way to reduce circuit temperature by lowering down the resistances between device layers. In this paper, we integrate dynamic via planning floorplanning process. Our and approaches are implemented in two-stage approach. Before floorplanning, temperature-constrained vertical formulated as convex programming problem. Based on analytical solution, blocks assigned different layers solving sequence of knapsack problems. Then SA engine used...
Cutting tool wear degrades the product quality in manufacturing processes. Hence, real-time online estimation of is important for suggesting a replacement before limit reached, order to protect workpiece and CNC machine from damage breakdown. In this study, using both statistical features wavelet extracted sensor signals, an adaptive evolutionary extreme learning (ELM) paradigm developed high-speed milling process. proposed method, discrete differential evolution (DE) algorithm used select...
Detailed routing is an important stage in very large scale integrated physical design. Due to the extreme scaling of transistor feature size and complicated design rules, ensuring completion without rule checking (DRC) violations becomes more difficult. Studies have shown that low quality partly results from nonoptimal net-ordering nature traditional sequential methods. The concurrent strategy always based on NP-hard model, thus at a disadvantage runtime. In this paper, we present novel...