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Sense ยท Field sensing and machine diagnostics

Industrial Sensors, IO-Link & Machine Diagnostics

Capture position, process and machine-health data at the source, then carry both measurements and diagnostics into the control and maintenance workflow.

IO-Link Position Pressure / Flow Identification Vision Vibration
Industrial Sensors, IO-Link & Machine Diagnostics architecture illustration Field devices IO-Link Diagnostics
Source

Position, process and machine condition

Capture

Sense, identify and diagnose

Data

Process values, status and events

Destination

PLC, edge and maintenance systems

Sensor and diagnostic products

Sensor Portfolio

The portfolio covers position and presence detection, pressure, temperature, flow and level measurement, IO-Link device integration, identification and vision, vibration monitoring and machine diagnostics.

Position and presence

Inductive, capacitive, photoelectric, magnetic and distance sensors detect parts, positions and machine states.

Process measurement

Pressure, temperature, flow and level devices provide switching values, analogue signals or digital process data.

IO-Link infrastructure

Masters and compatible devices carry process values, identity, parameters and diagnostics over standard point-to-point wiring.

Identification and vision

RFID, code reading and vision functions support workpiece tracking, verification and inspection.

Condition monitoring

Vibration, temperature and supporting process measurements help maintenance teams follow asset condition.

Machine diagnostics

Status bits, event codes and measured trends add context beyond a simple switching output.

Applications

Solutions

Select the sensing method, output type, installation and diagnostic depth from the machine function and operating environment.

Machine presence and position

Verify part presence, end positions, tooling and material flow with sensing principles matched to target, distance and environment.

Fluid and utility monitoring

Measure pressure, temperature, flow and level close to pumps, filters, cooling loops and process equipment.

Traceability and inspection

Use identification and vision to associate products, carriers, tools and quality checks with the production process.

Asset-condition monitoring

Combine vibration and operating data so maintenance teams can distinguish process variation from developing machine faults.

Sense

Position Sensing

Position sensors should be selected from target material, sensing distance, mounting geometry, switching speed and contamination conditions.

Inductive and magnetic

Detect metallic targets, cylinders and defined machine positions without mechanical contact.

Capacitive

Detect selected solids or liquids where material properties and environmental effects are understood.

Photoelectric and distance

Detect objects, edges and distances using reflected or transmitted light, with optics matched to surface and background.

Encoders and motion feedback

Measure rotational or linear position where the control task needs continuous feedback rather than a switching point.

Sense

Process Sensors

Process sensors translate physical variables into values the control and monitoring systems can use directly.

Pressure

Monitor hydraulic, pneumatic and liquid systems with ranges, process connections and overload capability matched to the application.

Temperature

Measure media, surfaces or ambient conditions with suitable probe, response time and material compatibility.

Flow

Follow liquid, gas or compressed-air flow for process control, cooling and consumption monitoring.

Level

Detect switching points or continuous level where tank geometry, medium and foam or deposits affect the measurement principle.

Sense

Identification & Vision

Identification and vision add product context to the machine sequence, allowing the controller to verify what is present as well as where it is.

RFID

Read and write tags for workpiece carriers, tools, assembly state and traceability.

Code reading

Capture barcodes and 2D codes for product identity, routing and quality records.

Vision sensors

Check presence, orientation, dimensions or simple features without creating a full general-purpose vision system.

System integration

Define trigger, lighting, field of view, communication and reject logic as part of the machine design.

Machine condition

Condition Monitoring

Vibration, temperature and supporting process variables provide the measurements needed to detect developing changes in rotating and mechanical equipment. Maintenance decisions still require trend limits and machine context.

Vibration and temperature

Monitor machine vibration and surface temperature at bearings, motors, pumps and gearboxes.

Supporting variables

Use pressure, flow, oil condition or electrical data where they explain changes in machine behaviour.

Trend interpretation

Compare values against the machine state and load instead of relying on a single universal threshold.

Maintenance workflow

Route warnings and diagnostic values into the system used by maintenance personnel.

Diagnostic interpretation

Machine Diagnostics

Diagnostic values must be interpreted with operating state, speed, load, installation and process conditions so that electrical or mechanical symptoms are not treated as isolated alarms.

Impact and vibration indicators

Use vibration-derived values to highlight shocks, imbalance, looseness or developing wear.

Friction and temperature context

Combine high-frequency and thermal indicators where bearing or lubrication conditions are relevant.

Device diagnostics

Use short-circuit, out-of-range and device-health information to distinguish instrumentation faults from process faults.

Root-cause context

Correlate sensor events with speed, load, recipe and operating mode before acting on the result.

Data integration

Edge Integration

IO-Link masters and industrial communication products carry process values, parameters and diagnostics into PLC, SCADA, edge or maintenance systems while preserving device identity and data context.

IO-Link masters

Aggregate device data and connect it to the selected industrial Ethernet or fieldbus network.

Parallel OT and IT paths

Provide process data to the PLC while forwarding selected diagnostic information to edge or maintenance systems.

Standardized data

Use device descriptions and consistent tag naming so values remain understandable beyond the field layer.

Security boundary

Control which device data is exposed outside the machine network and through which interface.

Connected handoff

Preserve device context from the sensor to the supervisory system

Sensor values, device status and parameter information can pass through remote I/O, Softing connectivity, CODESYS control or NOVUS monitoring according to the application. The measurement definition and diagnostic meaning should remain consistent throughout that path.

Identify the variable and device status
Acquire and transport it through a defined interface
Use it in control, maintenance or monitoring logic
Application engineering

Engineering

Reliable sensing depends on target definition, mounting, wiring, parameter management and commissioning records as well as the sensor specification.

Application definition

Document target material, medium, range, response time, mounting and environmental conditions.

Mechanical installation

Follow clearances, flush or non-flush mounting rules, process sealing and cable routing requirements.

Electrical integration

Match output type, port class, supply, grounding and EMC practice to the controller and machine.

Commissioning record

Save parameters, threshold logic and device identity so replacement and future service remain controlled.