Reconstruction-Based Fault Identification Using a Combined Index

By H. Yue, S. Qin. 2001

498 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/520934bc04467fa6fc09cbeea3b8841cdba07d66

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Qingchao Jiang
2. Jianbo Yu
3. Xue-feng Yan

In Mechanical Engineering

1. Jianbo Yu

Citations in the corpus

• Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring (2013, background): “These nine variables form the measurement vector [40,41]”
• On unifying multiblock analysis with application to decentralized process monitoring (2001, unknown): “Counter-examples are given in Reference [14].”
• Bearing performance degradation assessment using locality preserving projections (2011, methodology): “The combined index Q statistic is a summation of the SPE and T2 weighted against their respective control bounds as follows (Yue & Qin, 2001): Q ¼ T 2 gT2 þ SPE gSPE : ð21Þ In practice a single monitoring model will reduce the workload and operation cost of the operators as they will be exposed to…”