ADSM TECH + HAFISO SYSTEM PTE LTD
AI Predictive Maintenance & Machine Monitoring Singapore
Make equipment behaviour easier to understand.
ADSM works with HAFISO System Pte Ltd to connect equipment information, software and AI-assisted analysis for Singapore industrial operations. Start with machine visibility, then assess where maintenance analytics can be useful.
Visit HAFISO System (opens in a new tab)
What Is Machine Monitoring?
Machine monitoring collects operating information from equipment, sensors or existing industrial systems and makes it available to the people running the operation. A shared dashboard can show whether a machine is running, stopped or reporting an alarm, alongside trends and recent events.
Industrial machine monitoring may start with a small group of assets. Data access, sampling frequency and the meaning of each machine state should be agreed with the operational team before connecting a system.
DATA INPUTS
What Data Can Be Monitored?
Depending on the equipment and available instrumentation, equipment monitoring can include:
- Temperature
- Vibration
- Pressure
- Current
- Runtime
- Cycle time
- Machine status
- Alarm history
Signals may come from existing PLCs, controllers, databases or additional sensors where suitable. Timestamp alignment, units and missing readings matter when comparing trends.
AI Anomaly Detection
AI can analyse patterns in suitable operating data and flag behaviour that differs from an established baseline. A change in vibration, current or cycle time can help identify where maintenance teams should investigate.
An anomaly is a prompt for review, not a diagnosis. Product changes, different operating modes and sensor faults can also create unusual readings. Alert thresholds and review procedures need to reflect normal process variation.
DATA BEFORE PREDICTIONS
Predictive Maintenance Support
Effective AI predictive maintenance depends on suitable equipment data and operating history. Useful inputs can include known maintenance events, fault records, operating conditions and enough representative data to evaluate a model.
Where the history is limited, condition monitoring and clear rule-based alerts may be a more practical first phase. Models should be tested against agreed examples and reviewed as equipment or operating conditions change. Failure prediction is not guaranteed, and qualified teams remain responsible for maintenance decisions.
Turn Monitoring into Useful Maintenance Work
Equipment Alerts
Route agreed conditions or anomalies to the responsible team, with the asset, time, relevant readings and a clear review action.
Machine Utilisation
Compare runtime and operating states over agreed periods. Interpret utilisation in the context of planned shifts and production demand.
Downtime Monitoring
Capture stop duration and operator-confirmed reasons to support investigation of recurring interruptions.
Maintenance History
Connect work completed, observations and service records to the equipment timeline, subject to access and integration requirements.
Example Use Cases
- A pump trend that can help maintenance teams investigate changes in pressure or current.
- A repeated machine stoppage that triggers a review of alarm and cycle-time history.
- A motor vibration change that prompts a qualified inspection.
- A daily summary of runtime, downtime and unresolved equipment alerts.
ADSM + HAFISO
AI, Software & Industrial Engineering — Working Together
ADSM Tech works with HAFISO System Pte Ltd to deliver projects requiring a combination of AI, software, automation and industrial engineering expertise. Both teams bring AI and software capabilities to this joint offering.
Our combined capabilities can support solutions involving:
- Artificial Intelligence
- Machine Learning
- Software Development
- Cloud Platforms
- Data Analytics
- Industrial Automation
- PLC & Control Systems
- Sensors & Instrumentation
- Machine Vision
- Robotics
- System Integration
Depending on project requirements, the combined team can support projects from application development and AI implementation through to industrial system integration and on-site deployment.
Learn More About HAFISO (opens in a new tab)START A CONVERSATION
Have an Industrial Process You Want to Improve?
Tell us about your machines, workflow or operational challenge. We can assess where AI, software or industrial automation may be useful.
What to include in your enquiry (optional)
Share whatever is available. You do not need to have all the technical details before contacting us.
- Your industry and current process
- Number and type of machines or equipment
- The main operational problem
- What you want to monitor or automate
- Existing PLC, control system or application, if known
- Estimated project timeline