Automation downloads
Please choose your download section:
General
Engineering to help achieve operational readiness | EN |
Electrical and controls engineering: services provided | EN |
vPlant Modular Training Solutions | EN |
Rockwell - Managing obsolete hardware components | EN |
Process Control Systems | EN |
Multi Motor Drive (MMD) | EN |
A-SCADA | EN |
Machine Control Systems (MCS) | EN |
Distributed Control Systems (DCS) | EN |
Continuous Remote Support Service | EN |
Drive technology | EN |
Smart commissioning | EN |
Lime and cement
Engineering for lime operations | EN |
Mining
Automation solutions for mining | EN | |||
Compass minerals success story | EN | |||
OceanaGold success story | EN | |||
Advanced Control Expert for the mining industry | EN | |||
BrainWave control solutions for mining operations | EN | PT | ES | RU |
BrainWave control solutions for SAG mills | EN | ES | RU | |
BrainWave control solutions for hyperbaric filters | EN | ZH | ||
Control system solutions for the mining industry | EN | PT | ||
IDEAS simulation solutions for mining operations | EN | PT | ES | RU |
IDEAS steady-state simulation solutions for mining | EN | PT | ES | |
IDEAS simulation solutions for potash operations | EN | |||
IDEAS Virtual Instruments | EN |
Oil sands
IDEAS simulation solutions for oil sand operations | EN |
Pulp and paper
Automation solutions for pulp and paper | EN | ||||
ACE (Advanced Control Expert) optimization solutions for kilns | EN | PT | ES | RU | |
ACD (Advanced Condition Diagnostics) for pulp and paper mills | EN | ||||
Zellstoff Poels PM2 mill story | EN | ||||
PulpVision - Insights into pulp quality mill story | EN | ||||
PulpVision to measure, control and improve operations | EN | ||||
PulpVision – stickies and dirt analyzer | EN | ||||
IDEAS simulation solutions for pulp and paper | EN | PT | ES | RU | |
Resource Management System | EN |
Articles
Acoustic emissions in predictive condition diagnostics | EN | |
Automation of a Multiple Lime Kiln Plant | EN | |
Digital Double - Creating a simulation, or "digital twin", of a plant or piece of equipment can help operators prepare for any eventuality (Source: CIM Magazine) | EN | FR |
Engineering a new source of Energy and Revenue | EN | |
Lenzing Papier - getting close to optimum | EN | |
Real-word improvement through virtual instrumentation at OceanaGold Haile | EN | |
Shortening the curve: how dynamic process simulation can improve operator training for start-ups (Source: Tissue World Magazine) | EN | |
Suzano Mucuri Line 2 – ANDRITZ brings its expertise to the woodyard and fiberline | EN | |
Veracel – putting ACE in place boosts production, saves money | EN | |
Western Lime: Microwave Cooler Level Control | EN |
Technical papers
Adaptive control of sulphur recovery units | EN | |
Advanced control of steam superheat temperature on a utility boiler | EN | |
Advanced predictive adaptive control in a TMP newsprint mill | EN | |
Aracruz uses a dynamic simulator for control system staging and operator training | EN | |
Benefits of dynamic process simulation for the mineral industry | EN | |
BrainWave: Model Predictive Control for the Process Industries *Source of first publication of the work: W. A (Bill) Gough (2011). BrainWave®: Model Predictive Control for the Process Industries, Advanced Model Predictive Control, Tao Zheng (Ed.), ISBN: 978-953-307-298-2, InTech, Available from: www.intechopen.com | EN | |
Dynamic modeling of an ozone disinfection system | EN | |
Dynamic simulation as a tool for optimizing pressure control valve performance | EN | |
Dynamic simulation of a vacuum deaeration system | EN | |
Dynamic Simulation of Yankee Drying of Paper | EN | |
Dynamic simulation of processing high-arsenic copper concentrates in a fluidized bed roaster | EN | |
Dynamic simulation technology for food processing engineering | EN | |
Dynamic Simulation, Part 1 - the tool | EN | |
Dynamic simulation, Part 2 – the process model | EN | |
Dynamic simulation, Part 3 – development and testing | EN | |
Dynamic simulation – a maturing technology with real benefits | EN | |
Elements of power systems risk analysis and reliability study | EN | |
Even harmonic resonance – a unique problem | EN | |
Expert system application for lime kiln automation | EN | |
Fan drive system efficiencies | EN | |
Harmonic control and reactive power system experience for large chemical manufacturing facility expanded in six stages | EN | |
Impact of expert systems in the operation of a lime kiln | EN | |
Implementation of an innovative self-tuning adaptive controller for complex industrial processes | EN | |
Industrial cyber security for power systems and SCADA Networks | EN | |
Installation of an integrated turbine-generator control system for a pulp mill | EN | |
Justifying upgrade projects in existing mills | EN | |
Look before you leach – dynamic simulation of heap leach flowsheets | EN | |
Model predictive control of SAG mills and flotation circuits | EN | |
Model-based predictive adaptive control of pulp and paper mill processes | EN | JP |
MRAC strategy for temperature profile control of a lime kiln | EN | |
Multiple harmonic filters over six phases of expansion in a 170 MW plant | EN | |
New generation of adaptive model based predictive controllers applied in batch reactor temperature control | EN | |
New life for old power rectifiers | EN | |
Oil field harmonic concerns resulting from high impedance sources, multiple power converters, and long cables | EN | |
Potential application of predictive tensile strength models in paper manufacture | EN | |
Predictive-adaptive temperature control of molten glass | EN | |
Process simulation for improved plant design through P&ID validation | EN | |
Reusing and re-rating old rectifiers with new dc/dc choppers | EN | |
Role of simulation in design and operation of metallurgical plants | EN | |
Transient simulation of long-distance tailings and concentrate pipelines for operator training | EN | |
Use of actual controls in simulation trainers | EN | |
Utilizing waste hydrogen for energy recovery using fuel cells and associated technologies | EN | |
Streamlining the steps to optimized production: project process modelling, advanced control, and simulator based training for optimized operation - case studies | EN | |
SAG mill optimization using model predictive control | EN |
IEEE-copyrighted material is included in the library by the subject authors per IEEE guidelines and displays copyright marks. Readers are reminded of their obligations with respect to copyrighted material.
World Cement articles included in the library are used with permission of World Cement magazine.