Towards zero-defect manufacturing (ZDM)—a data mining approach

KS Wang - Advances in Manufacturing, 2013 - Springer
The quality of a product is dependent on both facilities/equipment and manufacturing
processes. Any error or disorder in facilities and processes can cause a catastrophic failure …

A review of the evolution of microcontroller-based machine and process monitoring

M Frankowiak, R Grosvenor, P Prickett - International journal of machine …, 2005 - Elsevier
This paper reviews the evolution of intelligent, distributed, microcontroller based machine
and process monitoring systems. It considers basic building blocks that support such …

Machinery fault diagnosis based on fuzzy measure and fuzzy integral data fusion techniques

X Liu, L Ma, J Mathew - Mechanical Systems and Signal Processing, 2009 - Elsevier
Fuzzy measure and fuzzy integral theory are an outgrowth of classical measure theory.
Fuzzy measure and fuzzy integral theory take into account the importance of criteria and …

Parameter monitoring and control during petrol transportation using PLC based PID controller

EB Priyanka, C Maheswari… - Journal of applied …, 2016 - scielo.org.mx
One of the major sources of petroleum products is obtained from the sea (offshore and
onshore). Here the major problem faced by the worker is, maintaining the constant pressure …

Intelligent fault diagnosis and prognosis approach for rotating machinery integrating wavelet transform, principal component analysis, and artificial neural networks

Z Zhang, Y Wang, K Wang - The international journal of advanced …, 2013 - Springer
This paper proposes a new approach for rotating machinery which integrates wavelet
transform (WT), principal component analysis (PCA), and artificial neural networks (ANN) to …

Failure cause analysis of machine tools using digraph and matrix methods

RV Rao, OP Gandhi - International Journal of Machine Tools and …, 2002 - Elsevier
This paper presents a methodology to analyze the failure causes of a machine tool using
digraph and matrix methods. The machine tool failure causality digraph models a failure …

Generative adversarial synthetic neighbors-based unsupervised anomaly detection

L Chen, H Jiang, L Wang, J Li, M Yu, Y Shen, X Du - Scientific Reports, 2025 - nature.com
Anomaly detection is crucial for the stable operation of mechanical systems, securing
financial transactions, and ensuring network security, among other critical areas. Presently …

Reliability enhancement of manufacturing systems through functions

MK Loganathan, OP Gandhi - Proceedings of the Institution …, 2017 - journals.sagepub.com
A reliable system means being able to perform its intended functions. Therefore, ensuring
performing of its required functions will help to enhance its reliability. For a manufacturing …

Applying a case-based reasoning method for fault diagnosis during maintenance

YT Tsai - Proceedings of the institution of mechanical …, 2009 - journals.sagepub.com
The development of a fault-diagnosis system (FDS) could be helpful in identifying the source
of faults before the occurrence of complete system failure. Here we report on such a …

CNC-implemented fault diagnosis and web-based remote services

DH Kim, SH Kim, KS Koh - Journal of Mechanical Science and Technology, 2005 - Springer
Recently, the conventional controller of machine-tool has been increasingly replaced by the
PC-based open architecture controller, which is independent of the CNC vendor and on …