Schwingungsdiagnostische Untersuchung von Straßenbahn-Antriebskomponenten

Hund

et al. 2018

Designs

Self Cite

Although condition monitoring is very important for a reliable operation of tram powertrain components, conventional wired sensor systems do not manage to find wide acceptance because of installation and security costs. To address those issues, we propose a novel condition monitoring system based on a wireless and energy self-sufficient sensor network, where the individual sensor nodes harvest energy from vibrations, occurring while the tram is in motion. First, we performed an experimental investigation to identify the most important boundary conditions for the system design. Second, we designed individual sensor nodes using parameters derived from the previous investigation. Finally, the sensor network was deployed and tested on the tram gearboxes. The obtained measurement data were recorded at a sufficient sampling rate of 4.56 kHz and were successfully transferred from the tram gearbox to the network base station within a radius of 10 m inside the tram despite factors such as reflections, fading and electromagnetic compatibility. A piezoelectric vibration harvester is the power supply for the sensor nodes and it delivers up to 21.22 mW for relevant vibration frequency range between 10 Hz and 30 Hz, thus enabling deployment of autonomous sensor nodes.Designs 2018, 2, 50 2 of 13 tram monitoring are presented in [3][4][5][6]. The power supply and data transmission within the sensor network must be wireless. In contrast, multiple cable bundles can be torn easily because of moving components caused by spring and damper strokes. Multiple cable bundles also lead to considerably increased maintenance and motor supply cables can induce parasitic influences in the measurement cabling. Long measurement cables reduce the transferable frequency range for an analogue signal, which limits the ability to analyse high frequency vibration signals. Another obvious advantage of the wireless diagnostic technology is the "drag and drop" of many individual sensors reducing installation and maintenance costs.As wireless sensor nodes power supply, Vibration Energy Harvesting (VEH) appears to be a promising solution [7]. Unlike batteries, VEH can provide a continuous energy supply, while the batteries are temperature-dependent, which leads to non-deterministic battery end-of-life and premature replacement. As expected, the logistical effort to change batteries results in increased maintenance costs. The advantage of using VEH with respect to other types of harvesting (e.g., thermal [8] or solar [9] harvesting) is the permanent availability of unused tram vibration energy. An example of the use of thermal harvesting is given in [10]. This harvesting technology is unsuitable for use in summer because the temperature difference between heat source and environment is smaller than in the winter. It is also observed that the gearboxes are operated far below their design parameters and it is unrealistic to expect radiation of large amounts of heat. Another alternative application scenario is presented in [11]. In this setup, a single wheel s...

Section: Metrological Analysismentioning

confidence: 99%

Section: Metrological Analysismentioning

confidence: 99%

Section: Metrological Analysismentioning

confidence: 99%

mentioning

confidence: 99%

“…Designs 2018, 2, 50 2 of 13 tram monitoring are presented in [3][4][5][6]. The power supply and data transmission within the sensor network must be wireless.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Design of a Wireless and Energy Autonomous Sensor Network for Condition Monitoring of Tram Drive Components

Hund

et al. 2018

Designs

Self Cite

Sensornetzwerke zur Kugellagerdiagnose am rotierenden Innenring

Ullrich

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

et al. 2021

Kugellager sind Verbindungsglieder zwischen stillstehenden und bewegten Komponenten. Insbesondere im Bereich der Werkzeugmaschinen sind Kugellager hohen Belastungen ausgesetzt und sorgen bei einem Defekt zu hohen Ausfallkosten. Um diese Defekte schneller zu erkennen, kommt eine ultraschallbasierte Diagnosetechnologie am Kugellagerinnenring zum Einsatz. Der Applikationsort der Technologie setzt eine energetische Versorgung voraus, die keine begrenzte Lebensdauer besitzt. Mithilfe eines elektromagnetischen Energy Harvesters und eines Energiemanagements wird dieses Vorhaben realisiert. Aufgrund der begrenzt zur Verfügung stehenden Energie wird eine Low-Power-Diagnosetechnologie eingesetzt. Durch die Diagnosetechnologie ist die Werkzeugmaschine dazu in der Lage, automatisierte Entscheidungen hinsichtlich der Lagerwartung zu treffen. Somit können ungeplante und kostenintensive Anlagenstillstände vermieden werden.

Cloudbasierte Zustandsdiagnose von Straßenbahnschienen

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

Leutritz

et al. 2022

Die Auslastung des schienengebundenen ÖPNV wird durch Urbanisierung und energiepolitische Trends zunehmen. Für die dafür erforderliche Umsetzung einer zustandsabhängigen Instandhaltungsstrategie wurde ein innovatives schwingungsbasiertes Verfahren zur Zustandsdiagnose von Straßenbahnschienen entwickelt. Die klassifizierten Messdaten in Form von Gleismeterobjekten werden cloudbasiert in einer Kartenansicht zur Verfügung gestellt. Dadurch ist die Analyse historischer und aktueller Messdaten möglich, um die Notwendigkeit oder den Erfolg von Schienenschleifungen zu bewerten.