This work proposes a comparison of three data-driven signal reconstruction methods, which
are Auto-Associative Kernel Regression (AAKR), Fuzzy Similarity (FS), and Elman Recurrent …

Fire is a ubiquitous hazard that poses a significant threat to life, property, and the
environment in both industrial and everyday settings. Therefore, precise and timely detection …

Availability and reliability are often important features of key software appliances such as
firewalls, web servers, etc. In this paper we seek to go beyond the simple heartbeat …

The main aim of this paper is to establish a reliable model both for the steady-state and
unsteady-state regimes of a nonlinear process. The use of this model should reflect the true …

This study presents a FDI strategy for nonlinear dynamic systems. It shows a methodology of
tackling the fault detection and isolation issue by combining a technique based on the …

Nowadays monitoring and controlling the modern and sophisticated heating ventilation air
conditioning (HVAC) building systems under a wide variety of occupancy and load related …

Fault detection is an essential part of the operation of any chemical plant. Early detection of
faults is important in chemical industry since a lot of damage and loss can result before a …

The distillation column is one of the most important unit operations used in the chemical
engineering. The continuous distillation process is largely used in many applications such …

In this study the innovation approach based model change detection algorithm with multiple
system noise scale factors (MSNSF) is proposed. Model of the system with additive changes …

Chemical batch-reactors are used in process industries to produce agro-pesticides.
Reactors can be operated in a stable or sometimes unstable mode for economic reasons …