Condition monitoring (or CM) is the process of monitoring a parameter of condition in machinery (vibration, temperature etc.) and identify a significant change which is indicative of a developing fault.
The use of condition monitoring allows maintenance to be scheduled, or other actions to be taken to prevent failure and avoid its consequences.
2. By condition monitoring
we mean continuous
evaluation of the health
of plant and equipment
throughout its
serviceable life.
Condition Monitoring
3. Condition monitoring (CM) is a process of monitoring a
parameter of condition in machinery eg. Vibration ,
temperature etc.
The scope is to identify a significant change which is
indicative of developing a fault.
Condition monitoring is a process which is used to monitor
the condition of the machine which ultimately reduces the
time required to identify and rectify the fault which further
increases the efficiency of the machine.
Condition monitoring provides us the real time information
about the condition of the machine which gives us the
ability to minimize or to eliminate the factors responsible
for occurrence of faults .
Condition monitoring can, in many cases, be extended to
provide primary protection, but its real function must
always be to attempt to recognize the development of
faults at an early stage.
Condition Monitoring
4. In case of equipment critical to your performance, periodic visits and site
inspections may not be sufficient.
Online system can work fully autonomously to keep monitored machinery
equipment.
Online Condition Monitoring
Workforce optimization - IT technology
can support the workforce and optimize
site personnel.
Fewer gaps in data – OCM ensures data
accuracy and provides continuous data
collection.
Improved diagnostics – Historical trend
data are available to ensure consistent
analysis, without trust only on
personnel experience.
Data
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5. Maintenance managers should consider the following when choosing a vendor for a
condition monitoring solution:
The ability of the solution to scale with evolving needs (support new types
of algorithms, wide variety of I/O and emerging sensors, expand to new systems).
The access to the raw engineering data, to adapt the system to the new and innovative
analysis techniques and extend the solution to meet the maintenance program
requirements.
Interoperability with third-party hardware and software packages: the solution should
integrate with existing CMMS and ERP systems and any data historians or process
management enterprise software used.
Scalability of the solution to be adapted and extended to a larger part of fleet assets.
Choose a CMS
Before choosing a condition monitoring system, maintenance managers need to
understand which assets and which failure modes should be monitored. The decisions
should be based on the size and number of assets and the types of measurements needed
to detect the failures.
6. Computer Maintenance Management System
Managing the machinery maintenance
is the most essential role of a CMMS
solution.
• Give users immediate overview of
the state of the maintenance needs
• Schedule the maintenance work
order activities
• Provide accurate inventory forecasts
• Provide instant access to hundreds
of invaluable reports
A CMMS is computer software designed to simplify maintenance management. Different
CMMS solutions offer different types of systems.
7. Benefits (savings)
Reduction of personnell overtime
Reduction of subsupplier support
Reduced maintenance backlog
Reduction of repairing activities costs
Effective utilization of maintenance personnel’s time
Reduced supervisor follow-up role
A useful step to get the ISO certificate
9. Remote Diagnostic
• Real time machine data can be easily shared at the same time with field
personnel and with remote central engineering HQ.
• The constant collaboration of the entire diagnostic team (field and remote)
speeds up the troubleshooting of any kind of anomalies occurred in site.
• Customer plant can also be monitored by a skilled remote diagnostic
engineer’s team without the presence of technicians on site.
• Remote diagnostic allows the cost reduction avoiding the presence of the
diagnostic team and technicians in site.
• Remote diagnostic is very useful especially for remote and offshore sites.
11. Remote control access, monitoring, diagnosis
Part of a quality long term service agreement
Monitoring early changes of equipment behavior and supplying proper
maintenance as deemed necessary
Monthly (typical), weekly or daily (if needed) Machine Train health monitoring
reports
Better scoping and planning of next scheduled term maintenance
Additional help when solicited
Optional help from the service provider, when opportune Remote tuning of
control parameters, when such service is appropriate
12. Applying technical expertise and skills at scheduled term maintenance
and between intervals by remote monitoring:
Borescope inspections
Vibrations data collection and analysis
Remote monitoring and real time performance analysis, with real time plot of
multiple engine health indicators
Combustion Dynamics monitoring and automatic corrective actions
Periodic maintenance
Application
14. Our team using DASBOX
Fully developed by GS&S team, based on its long time field
service experience, the DASBOX is a server grade PCs,
whose function is to gather diagnostic data from different
data sources for both local and remote data recording and
analysis.
DASBOX is able to manage the main standard industrial
protocols (Modbus, EGD, OPC, etc.) The system has been
designed to be able to manage all the signals coming from
all field sensors (Pressure transmitter, RTDs,
Thermocouples, Voltage/Current probes, Vibration probes,
etc.).
It is created in order to enhance plant control and
monitoring during the execution of critical tasks, such as
emergency or programmed and non-programmed
maintenance activities, by means of applying the latest
available technologies.
17. Frontend
A micro-service based set of components
based on modern communication standards.
A very lightweight and portable solution
Features:
Acquisition:
● Process configuration
● Real time monitoring with proactive data delivery
● Real time elaboration (software scaling, virtual sensors,
software alarms)
● Data storage into relational database
Elaboration:
● Vibration analysis
Visualization:
● Browser based, effective and dynamic User interface for displaying reading and trend data
● Exploiting modern web features (HTML5, AJAX, Web Sockets)
18. Interface
Develop a web based frontend able to
wrap a solid, multiprotocol and
multidevice, production level industrial
monitoring kernel
Functional and performance scalability
Component based in order to provide
maximum provisioning flexibility
Small footprint in terms of disk-space
and memory usage for embedded
systems
Browser based, appealing and highly
effective User Interface
Start point towards a new model of
remote maintenance service
19. R&D on different aspects
Technological
● Enabling multi-user collaboration tool for process configuration
● Adoption of timeseries databases to optimize data storage
● Exploiting more HTML5 technologies (web workers, local storage) to improve
user experience even further
Frontend
Functional
● Experiment different deployment
strategies effectively enabling
remote maintenance
● Improve analysis process by
leveraging data science tools like
machine learning and artificial
Intelligence