On-site drivetrain analyser keeps your data away from the cloud

Siemens has announced an AI‑powered system for analysing the performance of industrial drives on-site. The Drivetrain Analyzer Onsite processes drive data entirely within the user’s own infrastructure, bridging the gap between isolated machines and cloud‑based platforms. It complements Siemens’ existing Drivetrain Analyzer Cloud offering, and is aimed at users with stringent data‑sovereignty requirements.
The first module of the new system, called DTA Onsite – Monitoring, provides continuous condition monitoring of mechanical and electrical drivetrain components using locally executed AI to recognise patterns and detect any anomalies. It captures high‑resolution signals – including precision time protocol (PTP) synchronised vibration and analogue signals – via vibration (CM VIB), fast process parameters (CM FPP) and IoT (CM IoT) modules.
The data includes vibration signals, analogue values and fingerprint information, which are pre-processed locally and then analysed within the system. A user interface provides plant‑level overviews, KPI trend views and diagnostic dashboards – all accessed via a Web browser. The integrated AI identifies any deviations from typical drivetrain behaviour and indicates potential mechanical changes or early‑stage wear. All of the data stays within the user’s own infrastructure, because the analytics are executed entirely on an industrial PC.
DTA Onsite expands Siemens’ drivetrain analytics portfolio and is tailored for users who prefer to do their data processing locally. The Drivetrain Analyzer Cloud, launched last year, supports cross‑site, cloud‑based analyses and fleet‑level evaluations.
By contrast, DTA Onsite targets industrial environments where data sovereignty, latency requirements or isolated network architectures, are key considerations. Both systems follow the same modular concept but differ in their operating models, integration environments and regulatory deployment. Both are part of Siemens’ Xcelerator portfolio.
DTA Onsite runs on an industrial PC and uses a containerised software architecture. It supports open and documented interfaces such as MQTT, gRPC, and OPC UA, allowing integration into Scada systems, edge platforms, industrial IPCs and maintenance software. Datastreams from sensors and automation equipment are consolidated locally and visualised via a unified monitoring interface.
DTA Onsite – Monitoring can be used in a variety of industrial environments and is designed for applications with variable load, speed and operating profiles. This includes machinery such as extruders, packaging machines and textile machines, where any mechanical or process‑related changes need to be detected early.
The technology is equally suitable for infrastructure applications such as pumping stations and compressors, or conveyor systems, which often operate continuously or with varying load conditions. Motion‑control applications with dynamic movement profiles can also benefit from the detailed monitoring capabilities, because load peaks and changing operating states are captured and analysed systematically.

