Hsien-Cheng Huang — accepted AI-conference papers

2019

A Novel Efficient Big Data Processing Scheme for Feature Extraction in Electrical Discharge Machining

Chao-Chun Chen, Min-Hsiung Hung, Benny Suryajaya, Yu-Chuan Lin, Haw Ching Yang, Hsien-Cheng Huang +1

RA-L 2019

Electrical discharge machining (EDM) can machine hard conductive workpieces that are difficult to machine using traditional machining techniques. For monitoring the EDM process using virtual metrology (VM), probes with a very high sampling rate are needed to acquire the voltage and current signals o

Cited by 11 Source ↗Scholar ↗

2019

Time Series Prediction Algorithm for Intelligent Predictive Maintenance

Chin-Yi Lin, Yu-Ming Hsieh, Fan-Tien Cheng, Hsien-Cheng Huang, Muhammad Adnan

RA-L 2019

Predictive maintenance aims to find out when the target device (TD) is in the sick state and almost entering the dead state before its actual occurrence to conduct just-in-time maintenance, so as to avoid unexpected TD down time. In this way, not only tool availability and manufacturing quality are

Cited by 53 Source ↗Scholar ↗

2017

Development of Advanced Manufacturing Cloud of Things (AMCoT) - A Smart Manufacturing Platform

Yu-Chuan Lin, Min-Hsiung Hung, Hsien-Cheng Huang, Chao-Chun Chen, Haw Ching Yang, Yao-Sheng Hsieh +1

RA-L 2017

As semiconductor manufacturing processes are becoming more and more sophisticated, how to maintain their feasible production yield becomes an important issue. Also, how to build a smart manufacturing platform that can facilitate realizing smart factories is essential and desirable for current manufa

Cited by 75 Source ↗Scholar ↗