See Asset Condition. Understand How It Is Changing.
Siteplore brings selected equipment condition, operating status, electrical measurements, process context and historical events into a connected monitoring environment — helping maintenance and engineering teams recognize developing changes, compare similar assets and prioritize what deserves investigation.
Equipment condition often changes long before the next maintenance report.
Many assets are still assessed through periodic inspection, local instruments or data scattered across multiple systems. That can make gradual deterioration, repeated operating problems and cross-asset comparison difficult to recognize.
Periodic Inspection Only
Asset condition may change between inspection rounds, leaving limited historical visibility.
Data Without Equipment Context
Individual readings become more useful when tied to the correct asset and operating state.
Similar Assets Behave Differently
Duty and standby machines may show different performance without an easy way to compare them.
Maintenance Without Evidence
It may be difficult to verify whether equipment behavior improved after maintenance activity.
Non-Critical Assets Are Under-Monitored
Some equipment receives limited continuous monitoring even though failure can disrupt operations.
Too Much Data, Too Little Priority
Monitoring becomes useful only when teams can identify which asset deserves attention first.
Build monitoring around the equipment and failure concern that matters.
The appropriate measurements depend on asset type, operating duty, known failure mechanisms and the engineering question being investigated.
Motors
Monitor selected electrical, thermal, vibration and operating-state information.
Pumps
Combine suitable condition and process measurements for operational context.
Fans & Blowers
Review suitable condition, motor and operating measurements.
Compressors
Combine available equipment, utility and operating information where appropriate.
Electrical Equipment
Bring selected electrical status and operating measurements into historical monitoring.
Utility & Remote Equipment
Monitor distributed equipment where local inspection is difficult or infrequent.
One signal rarely tells the full equipment story.
Condition monitoring becomes more useful when suitable physical measurements are interpreted together with load, operating state and process context.
Vibration
Selected vibration measurements can support trending of mechanical condition.
Temperature
Bearings, motor casing, process or other relevant temperatures can provide operating context.
Electrical Load
Current, power and other compatible electrical measurements can support interpretation.
Operating State
Running, stopped, loaded or unloaded context can change how condition data is interpreted.
Process Context
Flow, pressure, level or other process variables can explain equipment behavior.
Maintenance Events
Available maintenance context can support before-and-after condition analysis.
Environmental Context
Ambient conditions may affect selected equipment and should be considered where relevant.
Data Availability
Missing or stale measurements should be visible before condition conclusions are made.
Asset monitoring should answer more than “what is the current value?”
Is Condition Changing?
Identify gradual or recurring changes across relevant monitoring periods.
Does Load Explain It?
Compare condition with available operating or load information.
Which Asset Is Different?
Compare similar equipment under relevant conditions.
Did Maintenance Improve It?
Compare selected trends before and after maintenance activity.
Is This a Sensor Problem?
Review data quality, consistency and related measurements before assuming equipment deterioration.
What Should We Inspect First?
Use monitoring evidence to prioritize equipment requiring further verification.
From equipment condition to an engineering decision.
Physical Equipment
Motor, pump, fan, blower, compressor or other asset.
Sensor & Existing Data
Capture suitable condition and operating information.
Edge & Integration
Connect selected measurements into the cloud data path.
Siteplore Monitoring
Trend, compare, alert and investigate.
Maintenance Action
Inspect, verify, prioritize or continue monitoring.
Organize monitoring around the way the plant is actually structured.
Asset identity should preserve where equipment is located, which system it belongs to and what measurements describe it. This makes dashboards, comparison and investigation more meaningful.
Move from individual measurements toward condition context and prioritization.
Grafana Cloud capabilities can extend Siteplore asset monitoring beyond basic trends where supported by the customer stack, data source, historical data and project configuration.
Condition Trends
Review how selected asset measurements change over time.
Asset-to-Asset Comparison
Compare similar machines where measurements and operating context are comparable.
Condition Events
Configure selected monitoring conditions requiring review.
Investigations
Use available investigation workflows to explore meaningful asset changes.
Outlier Detection
Evaluate unusual time-series behavior in suitable asset metrics.
Metric Forecasts
Forecast suitable metrics where historical behavior and platform capability support the use case.
Assistant
Available AI-assisted tools can support search and investigation workflows.
Sift Investigations
Where available, assisted investigative workflows can help surface relevant signals.
Watchers & Automations
Available workflow features can support repeated monitoring and follow-up activities.
Advanced analytics are dependent on the deployed Grafana Cloud capability, suitable data and project configuration. Outlier detection, forecasting and AI-assisted analysis should not be interpreted as guaranteed fault diagnosis, failure prediction or remaining-useful-life prediction.
A warning should trigger a structured engineering review — not an automatic diagnosis.
Condition-monitoring data provides evidence. The next step is to verify the measurement, understand equipment state, compare related signals and decide whether physical inspection or additional testing is justified.
Reliable asset analytics starts with reliable condition data.
Poor sensor placement, inconsistent operating state, missing metadata or unreliable measurements can produce misleading conclusions regardless of how sophisticated the analytics layer becomes.
Relevant Measurement
Select a signal related to the condition or failure concern being monitored.
Sensor Placement
Installation location should produce meaningful and repeatable information.
Operating-State Context
Condition data should be interpreted against the equipment’s operating condition.
Asset Identity
Each data stream should remain linked to the correct asset and measurement point.
Historical Continuity
Missing periods can affect trend interpretation and advanced analytics.
Verification
Monitoring findings should be verified using appropriate engineering methods before major decisions are made.
Apply continuous monitoring where earlier visibility can improve maintenance decisions.
Critical Pump Monitoring
Review suitable condition, operating and process trends between inspection rounds.
→ Condition Data
→ Trend & Investigation
Motor Operating Context
Combine suitable motor temperature, current and running-state information.
→ Electrical + Condition
→ Historical Context
Compressor Performance Review
Compare selected operating, process and energy measurements where suitable data exists.
→ Utility + Energy Data
→ Performance Review
Duty / Standby Comparison
Compare similar equipment to identify meaningful performance differences.
→ Comparable Signals
→ Difference Analysis
Before / After Maintenance
Review selected asset trends before and after maintenance intervention.
→ Maintenance
→ Condition Comparison
Distributed Equipment Monitoring
Bring selected equipment measurements from remote or infrequently visited sites.
→ Edge
→ Customer Monitoring
Asset monitoring can combine equipment condition, energy and process context.
MachineGuard
Retrofit condition-monitoring and early-warning visibility for selected motors, pumps, fans, blowers and other suitable rotating equipment.
Explore MachineGuard →PowerWatch
Add compatible electrical load and energy information to equipment operating context.
Explore PowerWatch →RekaSense
Connect compatible process, environmental and utility measurements where additional context is useful.
Explore RekaSense →Asset & Equipment Monitoring is broader than MachineGuard.
The platform capability provides the wider asset-data and analytics layer. MachineGuard is one specialized product that can provide condition-monitoring data for suitable rotating equipment.
Asset & Equipment Monitoring
Broad Siteplore capability for organizing, visualizing and analyzing equipment-related time-series information.
- Multiple asset categories
- Condition history
- Operating-state context
- Electrical and process context
- Asset hierarchy
- Comparison and investigation
- Customer cloud monitoring
MachineGuard
Application-focused retrofit condition-monitoring product for selected rotating equipment.
- Selected vibration measurements
- Temperature monitoring
- Running-state context where configured
- Historical condition trends
- Configurable early-warning monitoring
- Retrofit deployment approach
Start with the asset, the failure concern and the decision the data should support.
Exact deliverables depend on asset type, available instrumentation, connectivity, required analytics and the selected Siteplore engagement.
Asset Monitoring Definition
Identify which equipment and conditions should be monitored.
Measurement Requirements
Define suitable condition and operating measurements where included in scope.
Existing Data Review
Evaluate useful measurements already available from existing equipment or systems.
Edge & Integration Architecture
Define how selected equipment data reaches the Siteplore platform.
Asset Dashboard Structure
Site, area, asset and detailed monitoring views.
Historical Condition Trends
Time-series monitoring for selected equipment signals.
Alert & Investigation Views
Configured monitoring events and related trend context where appropriate.
Training & Handover
Explain dashboard usage, monitoring limitations and investigation workflow.
Start with condition visibility. Add analytics as the monitoring history grows.
Connect
Bring selected asset measurements into historical monitoring.
Trend
Establish credible condition history across operating periods.
Alert
Configure selected conditions requiring review.
Investigate
Combine condition, load and operating context.
Improve
Use evidence to improve inspection and maintenance prioritization.
Condition monitoring is not machinery protection or automatic diagnosis.
Siteplore provides monitoring, historical context and analytical support. Protection, trip functions, safety systems and definitive equipment diagnosis require the appropriate dedicated engineering methods.
| Capability | Siteplore Asset & Equipment Monitoring | Important Boundary |
|---|---|---|
| Historical asset condition | Yes | Requires suitable measurements |
| Current equipment status | Where available | Depends on configured status source |
| Asset comparison | Yes | Operating conditions should be comparable |
| Monitoring alerts | Where configured | Alert logic requires engineering definition |
| Outlier detection | Potentially | Depends on suitable data and platform capability |
| Metric forecasting | Potentially | Forecast accuracy must be evaluated |
| AI-assisted investigation | Where available | Not a verified engineering diagnosis by itself |
| Failure prediction | Not guaranteed | Requires validated asset-specific methodology |
| Remaining Useful Life | Not claimed by default | Requires validated RUL model and data |
| Automatic root-cause diagnosis | No | Engineering verification remains necessary |
| Machinery protection trip | No | Dedicated machinery protection system required |
| Electrical protective trip | No | Protective relay remains responsible |
| Safety shutdown / SIS | No | Dedicated safety system required |
| Hazardous-area suitability | Not assumed | Certified equipment and engineering review required |
Do not monitor every asset just because you can.
Start with equipment where better condition visibility can change inspection, maintenance or operational decisions.
Site Assessment
For facilities that need to identify which assets and measurements should be monitored first.
- Asset criticality discussion
- Failure-concern review
- Existing instrumentation assessment
- Monitoring-point definition
- Recommended architecture
90-Day Paid Pilot
Validate a focused equipment-monitoring use case before wider deployment.
- Selected assets
- Condition monitoring points
- Historical dashboards
- Selected alert / analytical workflow
- Pilot review & scale recommendation
Siteplore Deployment
For organizations ready to build monitoring across multiple assets, areas or equipment classes.
- Asset hierarchy
- Multiple monitored equipment
- MachineGuard / PowerWatch / RekaSense integration
- Customer cloud monitoring environment
- Training & support scope
Asset & Equipment Monitoring FAQ
What is Siteplore Asset & Equipment Monitoring?
It is the Siteplore platform capability for organizing and analyzing equipment-related condition, status, electrical, process and historical time-series data.
Is Asset & Equipment Monitoring the same as MachineGuard?
No. Asset & Equipment Monitoring is the broader Siteplore platform capability. MachineGuard is a specialized retrofit condition-monitoring product for selected rotating equipment.
What equipment can Siteplore monitor?
Potential applications include motors, pumps, fans, blowers, compressors, electrical equipment and selected utility or remote assets, depending on suitable measurements and integration.
Can Siteplore monitor vibration?
Yes, where suitable vibration sensors, installation and acquisition architecture are included in the monitoring solution.
Can Siteplore monitor temperature?
Yes, where suitable temperature measurement is available and meaningful for the equipment or process being monitored.
Can electrical current be used as equipment context?
Yes, where compatible electrical measurements are available. Current or power can provide useful load context but should not automatically be interpreted as a complete condition diagnosis.
Can existing sensors or PLC data be used?
Potentially yes. Existing data sources should be reviewed for measurement meaning, quality, timestamp behavior, protocol and integration suitability.
Does Siteplore replace the DCS or PLC?
No. Siteplore is positioned as a monitoring, historical-data and analytics layer. DCS and PLC systems remain appropriate for plant control and automation.
Can Siteplore compare two similar machines?
Yes, where comparable measurements and operating context are available. Load, service, design and operating state should be considered when interpreting differences.
Can Siteplore detect deterioration?
Historical trends, configured monitoring conditions and suitable analytical tools can help identify developing changes that deserve investigation. This should not be interpreted as guaranteed fault detection.
Can Siteplore use outlier detection?
Grafana Cloud outlier-detection capabilities can potentially be used with suitable asset metrics where supported by the customer stack, data source and configuration.
Can Siteplore forecast equipment condition?
Metric forecasting can be evaluated for suitable time-series measurements where enough relevant data exists and the capability is available. Forecasts should not be treated as guaranteed future equipment condition.
Does Siteplore predict machine failure?
Siteplore can support early-warning monitoring, historical analysis and investigation. A validated failure-prediction claim would require an asset-specific model, failure-mode definition, sufficient data and performance validation.
Does MachineGuard calculate Remaining Useful Life?
Remaining Useful Life should not be claimed unless a validated RUL methodology has been developed for the relevant asset and failure mode.
Can AI diagnose the root cause automatically?
AI-assisted analysis can support exploration and investigation where available, but its output should not automatically be treated as a verified engineering diagnosis.
Can Siteplore automatically stop a machine?
Not as a standard Asset & Equipment Monitoring function. Automatic shutdown requires dedicated control, protection or safety engineering appropriate to the application.
Is MachineGuard a machinery protection system?
No. MachineGuard is positioned as retrofit condition monitoring and early-warning visibility. Dedicated machinery protection systems remain responsible for trip and protection functions.
Can Siteplore be installed in hazardous areas?
Hazardous-area deployment should not be assumed. Applications in classified areas require suitable certified equipment, installation methods and engineering review.
Can maintenance events be shown on the dashboard?
Potentially yes, where maintenance-event information is available and integrated. This can support before-and-after condition analysis.
Can Siteplore replace a CMMS?
No. Siteplore focuses on monitoring, operational time-series and analytical visibility. A CMMS remains appropriate for work orders, maintenance planning, spare parts and maintenance administration.
Can multiple plants be monitored?
Yes, where multi-site architecture, customer access, connectivity and data isolation are appropriately designed.
How should we choose which assets to monitor first?
Start with operational consequence: which equipment failures, deteriorating conditions or inspection gaps create meaningful production, maintenance, energy or reliability risk. Then determine whether continuous monitoring can improve the decision around that risk.
Do not monitor every machine. Monitor the condition that changes the decision.
Rekacipta can help identify priority assets, define meaningful measurements, connect suitable sensors and existing data, establish the cloud monitoring path and build Siteplore dashboards that turn equipment history into better maintenance and reliability decisions.