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Industrial asset health

Find hidden degradation before the plant pays for it.

Predictive maintenance is useful only when a condition signal becomes a practical inspection, repair or shutdown decision. We support Bangladesh plants in defining the problem, finding a qualified technology route and coordinating a controlled pilot.

For power generation, grid and substation, refinery, oil and gas, water, process industry, maritime and port assets.

Condition signal and asset health view for industrial predictive maintenance
Failure mode firstChoose the monitoring method after identifying what can fail and what action the plant can take.
DetectIdentify abnormal condition before functional failure.
DiagnoseSeparate likely fault mechanism from ordinary process change.
DecideConvert the signal into an inspection or maintenance action.
VerifyMeasure whether the action reduced risk, delay or damage.
Brutal operating truth

A dashboard is not predictive maintenance.

A plant can buy sensors and still miss the failure. The monitoring method, baseline, alarm logic, diagnostic competence and maintenance response must work together.

The real output is lead time for a safe decision.

If the system cannot show what changed, how serious it is and what action is required, it may produce data without reducing operational risk.

Wrong failure mode

The selected sensor cannot see the actual degradation mechanism.

Weak baseline

Normal load and process changes are mistaken for equipment faults.

Alarm without action

Warnings reach a screen but not the maintenance planning route.

No benefit check

The plant cannot prove avoided damage, reduced outage or maintenance value.

Monitoring routes

Match the technology to the failure mode.

One sensor does not cover every asset. A credible programme combines the correct measurement, asset context and engineering response.

VIB

Vibration and dynamic signal

For imbalance, misalignment, looseness, bearing damage, gear defects, resonance and other rotating machinery conditions.

IR

Thermography and temperature

For abnormal heating in electrical connections, bearings, refractory systems, mechanical friction and process equipment.

OIL

Lubricant and wear debris

For contamination, lubricant degradation and abnormal wear particles that may identify internal component damage.

US

Ultrasound and acoustic condition

For compressed air and steam leaks, valve passing, early bearing friction, electrical discharge and trap performance.

ELEC

Electrical and insulation condition

Motor current, partial discharge, transformer dissolved gas and other electrical indicators for insulation and winding risk.

DATA

Process and multivariable analytics

Use historian, control and condition data to identify deviation where load, environment and operating mode influence asset behaviour.

Industrial focus

Critical assets across the same sectors already served by Impro Solutions.

The page is not limited to one power plant machine. It follows the industrial focus shown in the existing website footer.

SectorPriority assetsCondition routes
Power plantGas and steam turbines, generators, pumps, fans, compressors, bearingsVibration, oil, thermography, ultrasound, electrical and process analytics
Grid and substationPower transformers, GIS and AIS, breakers, cables, batteries and UPSDGA, partial discharge, thermal, breaker timing, insulation and battery health
Oil, gas and pipelineCompressors, pumps, MOV and ESD valves, tanks, terminals and pipelinesDynamic signal, valve signature, leak, corrosion and process deviation monitoring
Water and process plantsPumps, blowers, motors, gearboxes, chemical dosing and actuated valvesVibration, current, ultrasound, thermal and operating performance trends
Refinery and heavy industryRotating trains, furnaces, heat exchangers, fans, conveyors and critical drivesCondition sensors, thermography, oil, acoustic and multivariable analytics
Maritime and portPropulsion support equipment, cranes, pumps, winches and cargo systemsVibration, thermal, lubricant, electrical and structural condition routes
Controlled adoption

From one critical problem to a defensible pilot.

A limited, measurable pilot is stronger than an immediate plant-wide promise.

Asset and failure review

Confirm criticality, known failure history, failure mechanisms, present maintenance method and available operating data.

Technical route screening

Compare measurement method, sensor installation, environment, data path, diagnostics and provider references.

Pilot and baseline

Define assets, duration, normal operating states, alarm governance, response responsibility and success criteria.

Action and value check

Connect warnings to inspection or work order, document findings and calculate avoided risk or maintenance value.

Technical basis

Use recognised condition-monitoring logic.

These references support programme design. They do not replace asset-specific engineering judgment.

ISO 17359General procedures for setting up a condition monitoring programme for machines.View ISO reference
U.S. DOE O&M GuidePredictive maintenance technologies and practical operations and maintenance guidance.View DOE guide
ISO 13379 seriesData interpretation and diagnostic approaches for measured machine condition and performance.View ISO catalogue
Video platform

From hidden degradation to planned maintenance.

This video card is ready for a short technical explainer showing a real industrial failure signal, diagnostic reasoning and maintenance action. It keeps the page useful today without publishing a false case study or invented performance claim.

Open Impro Solutions YouTube
FAQ

Questions from plant and procurement teams

Clear answers before selecting a monitoring system or technical provider.

What is industrial predictive maintenance?

It uses measured condition and operating data to identify developing degradation before functional failure. The output should support a planned inspection or maintenance decision.

Does predictive maintenance always require AI?

No. Fixed alarms, trending, engineering rules, diagnostic models and machine learning can all be useful. The correct method depends on the asset, failure mode, data quality and maintenance action.

Can one sensor detect every failure mode?

No. Vibration, temperature, lubricant, ultrasound, electrical condition, partial discharge and process data reveal different mechanisms. Sensor selection must follow the failure-mode review.

Which plant should start first?

Start with high-consequence assets where failure history, repair lead time, spare availability or production loss justifies the monitoring effort.

What should a pilot prove?

It should prove that the technology detects meaningful deviation, the plant can interpret it, an action route exists and the result creates measurable risk or maintenance value.

What is Impro Solutions Bangladesh's role?

We can support requirement clarification, qualified provider and OEM communication, document review, import and local coordination, pilot planning and commercial follow-up. Specialist diagnostics remain with the appointed qualified technical party.

Begin with evidence

Send one critical asset, its failure history and your present monitoring method.

We can review the problem statement, identify missing technical information and discuss the correct technology and coordination route for Bangladesh.