Name: MON300: Process Control Diagnostics and Industrial Statistics Course
Brand: AIAPC
Price: 445.00 USD
Availability: InStock

Course Description

MON300 is an online process control diagnostics course covering control-quality monitoring, loop-performance criteria and industrial statistics. It is intended for engineers, technicians and supervisors who need to interpret control-performance evidence before selecting a corrective action.

The course uses APROMON and PITOPS examples to examine oscillation, sluggish response, excessive valve movement and interactions between process loops. Topics include performance reports, True Amplitude Detection, OPC-based monitoring and the connection between monitoring software and DCS/PLC adaptive-control logic.

Choose MON300 for monitoring and diagnosis. PID100 addresses tuning fundamentals, while APC200 addresses control-structure design. For connectivity concepts, compare OPC500 communications training. Read the control-loop diagnostics guide.

What you receive with this course

Study control performance monitoring through engineer-developed, recorded video training grounded in decades of industrial process-control experience. AIAPC's course-development background connects engineering principles with practical plant-control work.

365-day course access: work through the recorded lessons at your own pace during your access period.
Course assessment: take the course quiz, with a 70% passing score.
Completion certificate: receive an AIAPC course completion certificate after completing the required learning and passing the assessment.
A clear study plan: review the syllabus, prerequisites and practical requirements below before choosing the course.

Your learning journey

Check the fit. Compare the learning outcomes with your current experience and review the software requirements.
Study the recorded lessons. Revisit the course videos within your 365-day access period and work through the published topics.
Check your understanding. Complete the required course learning and achieve at least 70% in the quiz.
Record your completion. Receive your AIAPC completion certificate. This records completion of this course; it is not a professional licence or a vendor accreditation.

For course support, use the contact form or email [email protected]. Scheduled live classes and private team training can be arranged separately.

Where these skills are used

Continuous process plants: Use trends and industrial statistics to investigate variable performance, repeating oscillations and changing operating conditions.
Chemical processing, refining and pulp and paper: Organize loop-performance evidence for control, operations and maintenance discussions.

Relevant work contexts: Control-performance analysts, process or control engineers and operations or reliability teams investigating loop behavior. These examples describe applications of the subject, not a promise of industry-specific exercises, job placement or employment. Employers also assess experience, site procedures and role-specific qualifications. Explore the process-control skills and career guide for broader learning context.

Learning Outcomes

Study how to interpret control-quality measures, investigate oscillatory and sluggish loops, configure monitoring examples and conduct what-if studies. Examine how OPC connectivity supports online monitoring and how diagnostic information can inform adaptive-control designs. A diagnostic indicator is evidence to investigate, rather than proof that retuning alone will solve a plant problem.

The course syllabus covers:

Modern process control in plants
Process interactions because of mass balance and heat balance integration Potential for process cycling and sustained oscillations
Causes of process oscillations
Pitops simulations illustrating different oscillation cases
Pitops simulations illustrating excessive control valve movement Pitops simulations illustrating sluggish control
Definition of various process control quality performance criteria Explanation of special new terms – crimp, cheat, vacillation, rope length etc. Component breakdown of PID contributions
Use of process control monitoring software – Apromon-Excel Run example cases on Apromon-Excel
More explanation of process control quality performance monitoring criteria
Conduct what-if studies on example using Apromon-Excel
Adjust and understand oscillation tuning parameters
Set up online OPC servers to simulate real-plant environment Use of Apromon-OPC
Run example cases on Apromon-OPC
Implement Apromon-OPC using OPC simulation server
More explanation of process control quality performance monitoring criteria Procedure and tips on implementing Apromon-OPC in a plant environment
Need for detection of online oscillation in an industrial process Need for detection of sluggish control in an industrial process. Precise determination of oscillation
Practical challenges of detecting oscillations reliably Understanding of true amplitude detection) algorithm
Setting up Apromon-OPC and configuring it in online/real-time mode
Implementing online adaptive control using DCS, Apromon and a OPC server-based computer

Learning Format and Practical Requirements

This is recorded video training. For software-based exercises, contact AIAPC to confirm installation, compatibility and licensing requirements before enrolling. Live classes and company team training are arranged separately by appointment.

Compare the course catalog and learning paths, or review course completion certificate requirements before choosing your training.

Choosing MON300

How does control-loop diagnostics training differ from PID tuning training?

MON300 examines control-quality monitoring, loop-performance criteria, industrial statistics and evidence such as oscillation, sluggishness or excessive valve movement. PID100 focuses on primary control and tuning foundations. The control-loop diagnostics guide explains why an observed symptom needs investigation before selecting a corrective action.

How are statistics and software examples used in MON300?

The published course connects industrial statistics with process-control performance and monitoring. It uses APROMON and PITOPS examples, including oscillatory and sluggish behavior and interactions between loops. Compare the syllabus with your monitoring task; confirm software installation and licensing arrangements before planning practical exercises.

Practical course fit and preparation

Is MON300 a monitoring-software purchase or an industrial statistics course?

MON300 is recorded training in control quality, performance monitoring and industrial statistics. Its published software examples support the subject; enrollment should not be interpreted as an unrestricted monitoring-system licence or a commissioned plant service. Confirm the practical software arrangement before enrolling. The control-loop diagnostics guide shows how trends and performance measures support an investigation.

What should I have in mind when studying a loop-performance trend?

Identify the time interval, operating condition, setpoint, measured process value and controller output. Distinguish a performance symptom from a proven cause before deciding that tuning alone will solve it. For the underlying feedback-controller concepts, return to PID100 primary-control and PID tuning training.

Browse the recorded lesson outline. Lesson and quiz access follows your enrollment.

Course Content

Continue with the practical learning article: Valve Stiction vs Poor PID Tuning: Evidence to Check. Review its worked example alongside the course topics above.