Spindle
A data-driven spindle service records the speed, temperature, vibration and current draw of the spindle during operation. Service engineers know before the visit where faults have occurred, and deviations are noticed before they bring the machine to a halt.
Spindle at a glance
Most frequent in the projects on this page
Technologies
Verified projects featuring Spindle






Optimised precision through the ifm moneo Cloud and IO-Link technology



Detecting anomalies for improved machine availability



Monitor manufacturing in real time and reduce scrap
Spindle service with IoT: know the condition before the visit
In the BLUE-ZONE solution, sensors on critical components record spindle speed, current draw, temperature, torque, feed rate and XYZ position of the spindle. A gateway transmits the data to the user's own data centre or preferred cloud, and a dashboard shows deviations in real time. Benzinger monitors spindles, energy consumption and process conditions with IO-Link sensors from ifm and analyses them in the moneo Cloud. Schaeffler Digital Solutions relies on vibration analysis: its autinityVC software runs on an industrial PC directly at the machine, splits vibration sensor signals via fast Fourier transform and compares them with reference spectra.
All examples come from mechanical and plant engineering. A special machine builder whose rotary indexing machines run at automotive customers has used BLUE-ZONE to digitalise the manual spindle inspections of its service company: maintenance is now needs-based rather than at fixed intervals, and unplanned downtime is falling. Benzinger, a maker of turning and milling machines, uses moneo to uncover weak points and deviations early. In gear production, where clamping errors can cause imbalance when the spindle starts up, autinityVC analyses vibrations live and stops the machine, for example when a tool breaks. Podcast episode #159 shows how GF Machining Solutions uses vibration, noise and temperature data via the symmedia Hub.
Podcast episodes featuring Spindle
Spindle service: frequently asked questions
How can unplanned machine tool spindle repairs be avoided?
Unplanned machine tool spindle repairs can be avoided when sensors continuously record the spindle's condition and report deviations early. At the special machine builder working with BLUE-ZONE, service engineers used to inspect spindles manually according to fixed maintenance plans and replace them when needed. Today, the solution automatically transfers basic data from the spindles to an application. The aim is for engineers to know before a visit where faults have occurred and which components need replacing.
Which data does a machine tool spindle provide for service?
A machine tool spindle mainly provides speed, current draw, temperature, torque, feed rate and its exact XYZ position. BLUE-ZONE's solution records these parameters with sensors on critical components. They form the basis for precise condition monitoring and a detailed analysis of machine behaviour. A gateway transmits the data to the user's data centre or the cloud, and a dashboard shows the condition in real time.
What does spindle vibration reveal about the process?
Vibration reveals disturbances in the machining process in real time, such as a tool breakage or micro-waviness on the workpiece. Schaeffler Digital Solutions' autinityVC breaks down the signals from several vibration sensors using a fast Fourier transform and compares them with reference spectra. A tool breakage produces a sudden peak: the software raises an alarm and stops the machine. Benzinger also analyses vibration data from its machines in the moneo Cloud.
How can an impending spindle failure be detected?
An impending spindle failure shows up as deviations in the spindle's continuously recorded operating data. With BLUE-ZONE, speed, current draw, temperature and torque reach a dashboard via a gateway, where deviations are visible immediately. Anomalies are detected early, before costly failures occur, and unplanned downtime falls. Benzinger also uncovers weak points early with IO-Link sensors from ifm and moneo.
More assets in “Machinery and Equipment”
Pump
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Compressor
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Electric motor
Motor condition monitoring with IoT continuously measures the vibration, temperature and current draw of electric motors. Operators detect imbalance, bearing damage or winding faults early and replace motors based on condition rather than after a failure.
Packaging machine
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Refrigeration system
A refrigeration monitoring system makes service plannable: temperatures, refrigerant circuit pressures, compressor status and energy consumption flow into a platform in real time. Operators and service partners detect faults early, avoid unnecessary site visits and reduce excess consumption.
Air conditioning system
Commercial air conditioning systems in offices, retail branches and data centres can be monitored remotely with IoT. Operators see energy consumption, temperatures and faults in one place, detect failing compressors or refrigerant shortages early and plan service visits precisely.
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