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Transactions of the Institute of Measurement and Control is a peer-reviewed journal published by SAGE, covering Adaptive Control of Nonlinear Systems, Stability and Control of Uncertain Systems, Fault Detection and Control Systems. Over its lifetime it has published 4,685 papers, which have received 45,344 citations.
| Publisher | SAGE |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Transactions of the Institute of Measurement and Control. 2023;12(3):45–58.
Formats any DOI in Transactions of the Institute of Measurement and Control style. No sign-up. |
| Publishes research in | Adaptive Control of Nonlinear Systems Stability and Control of Uncertain Systems Fault Detection and Control Systems Advanced Control Systems Optimization Distributed Control Multi-Agent Systems |
| ISSN | 0142-3312 |
| Citation impact (2-yr) | 1.8 |
| h-index | 61 |
| i10-index | 1,458 |
| Top institutions publishing here | Southeast University |
| Journal website | www.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This paper introduces an on-line particle-filtering (PF)-based framework for fault diagnosis and failure prognosis in non-linear, non-Gaussian systems. This framework considers the implementation of two autonomous modules. A fault detection and identification (FDI) module uses a hybrid state-space model of the plant and a PF algorithm to estimate the state probability density function (pdf) of…
The estimation of remaining useful life (RUL) of a faulty component is at the centre of system prognostics and health management. It gives operators a potent tool in decision making by quantifying how much time is left until functionality is lost. RUL prediction needs to contend with multiple sources of errors, like modelling inconsistencies, system…
Nowadays, the data-driven diagnosis method, exploiting pattern recognition method to diagnose the fault patterns automatically, achieves much success for rotating machinery. Some popular classification algorithms such as artificial neural networks and support vector machine have been extensively studied and tested with many application cases, while the random forest, one of the present state-of-the-art classifiers based…
This paper presents a physics-of-failure (PoF)-based prognostics and health management approach for effective reliability prediction. PoF is an approach that utilizes knowledge of a product's life cycle loading and failure mechanisms to perform reliability design and assessment. PoF-based prognostics permit the assessment of product reliability under its actual application conditions. It integrates sensor data with…
In this paper the state-of-the-art developments model-based fault diagnosis in technical processes are reviewed. Attention is focused upon both the analytical approaches that make use of the quantitative models and the knowledge-based approaches using qualitative models. Basic concepts and the advantages as well as disadvantages of different model-based fault diagnosis schemes are outlined.
