News


Informs Conference in Pittsburgh, PA [Nov. 2006]

> PhD student Zhiguo Li presents his work at Informs Annual Meeting:

Title: Discrete Event Sequence Data Monitoring Using Rank Test
Abstract: Discrete event sequence data has become an important type of data in the service and maintenance. This paper, without any distributional assumption for the event history data, develops a monitoring procedure for the hazard rate of failures using the rank test. Based on the asymptotic properties of the rank statistic, a generic formula for the operating-characteristic of the control chart is derived to show the relationship of the type-I error, type-II error, sample size and hazard rate change.

> PhD student Jean-Philippe Loose presents his work at Informs Annual Meeting:

Title: Variation Source Identification in Manufacturing Using Nonlinear Measurements
Abstract: This paper presents a variation source identification procedure in the presence of nonlinear measurements, which refers to the measurements that are related with the process variation sources through a nonlinear function. In the proposed procedure, the joint probability density of the measurements is determined as a function of the process parameters; then, series of statistical tests are performed to identify the variation source. A case study is used to illustrate the procedure.

> PhD student Li Zeng presents her work at Informs Annual Meeting:

Title: Influence of Sensor Noise in Regression Adjustment Method for Quality Control
Abstract: In the regression adjustment method, one can choose to monitor the residual resulted from the adjustment for all possibly related variables or monitor that from the adjustment for an directly influential subset identified through a model selection procedure. In this paper, it is shown theoretically that when sensor noise is negligible, these two kinds of adjustment are equivalent. Otherwise the first adjustment will lead to higher false alarming rate and lower detection rate.

> Professor Shiyu Zhou presents his work at Informs Annual Meeting:

Title: Automatic Feature Selection for Unsupervised Clustering of Cycle-Based Signals
Abstract:A cycle-based signal refers to an analog or digital signal that is obtained during each repetition of operation cycles in a manufacturing process. Different from the available supervised classification approaches that depend heavily on the training dataset or the engineering field knowledge, this paper aims to developing an automatic feature selection method for unsupervised clustering of cycle-based signals. The technique is a data pre-processing technique for process monitoring and diagnosis.

Nan Chen just joined the M-PAC laboratory [Sep. 2006]

He will start his first semester of the PhD program this Fall.

Welcome, Nan!

Zhiguo Li has submitted a paper to IIE transcations [Jul. 2006]

PhD student Zhiguo Li's paper "Time Between-Events Data Monitoring Using Rank Test" has been submitted to IIE transcations.

Congradulations, Zhiguo!

Zhiguo Li's paper has been accepted by IIE transactions [May. 2006]

PhD student Zhiguo Li's paper "Failure Event Prediction using Cox Proportional Model Driven by Failure Signature" has been accepted by IIE transcations.

Congradulations, Zhiguo!

Nong Jin successfully defended his PhD dissertation [Apr. 2006]

PhD student Nong Jin successfully defended his PhD dissertation. He is the first alumni from the MPAC lab and will join Capital One in Richmond (VA) in May 2006.

Congradulations, Nong!

Nong Jin submitted his paper to IIE transactions [Apr. 2006]

PhD student Nong Jin's paper "Multiple Fault Signatures Integraton and Enhancing for Variation Source Identification in Manufacturing Processes" has been submitted to IIE transactions.

Congradulations, Nong!

Zhiguo Li's paper has been accepted by IIE transactions [Feb. 2006]

PhD student Zhiguo Li's paper "Pattern Matching for Variation Source Identification in Manufacturing Processes with the Presence of Unstructured Noises" has been accepted by IIE transcations.

Congradulations, Zhiguo!

Li Zeng passed her PhD qualify exam [Feb. 2006]

PhD student Li Zeng has passed her PhD qualify exam in quality area. She may officially proceed with her PhD degree.

Congratulations, Li!