Multimodal execution monitoring for anomaly detection during robot manipulation

D Park, Z Erickson, T Bhattacharjee… - … on Robotics and …, 2016 - ieeexplore.ieee.org
Online detection of anomalous execution can be valuable for robot manipulation, enabling
robots to operate more safely, determine when a behavior is inappropriate, and otherwise …

Bayesian identification of hidden Markov models and their use for condition-based monitoring

D Zhang, AD Bailey… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we propose a Bayesian estimation scheme for hidden Markov model (HMM)
parameters, as well as a method for monitoring systems whose degradation processes are …

不完备先验知识下的机械密封端面磨损状态评估研究

李克斯, 张尔卿, 傅攀, 林志斌 - 摩擦学学报, 2016 - tribology.com.cn
针对机械密封端面全状态先验知识不易获取, 正常开启状态下和未打开状态下的先验知识可以
获取的特点, 以声发射信号作为监测信号, 提出基于因子隐马尔可夫模型(FHMM) …

基于小波包与分形组合技术在变压力下液压管路振动信号分析研究

李哲洙, 高培鑫, 赵大哲, 刘积仁 - 计算机工程与科学, 2016 - joces.nudt.edu.cn
提出基于小波包与分形组合技术对压力突变情况下航空发动机液压管路振动信号进行分析.
首先, 采用小波包对压力突变下液压管路振动信号进行分解, 压力突变下液压管路振动信号的 …

[图书][B] A cost-effective diagnostic methodology using probabilistic approaches for gearboxes operating under non-stationary conditions

S Schmidt - 2016 - search.proquest.com
Condition monitoring is very important for critical assets such as gearboxes used in the
power and mining industries. Fluctuating operating conditions are inevitable for wind …

A hybrid feature selection method for hidden Markov model based bearing performance assessment.

H Jiang, J Chen, G Dong, T Liu… - International Journal …, 2016 - search.ebscohost.com
Bearing performance assessment as an advance warning of defects has received
considerable attentions in industrial maintenance. Hidden Markov model (HMM) has been …

Digital Signal Processing Methods for Safety Systems Employed in Nuclear Power Industry

G Popescu - 2016 - rave.ohiolink.edu
Some of the major safety concerns in the nuclear power industry focus on the readiness of
nuclear power plant safety systems to respond to an abnormal event, the security of special …

[引用][C] 基于SVM-HMM 轴承故障诊断方法

陈玄, 陈跃鹏, 龙作琎, 张宪, 成舟 - 武汉理工大学学报: 信息与管理工程版, 2016