In modern mining, papermaking, electricity, and heavy industry, the continuous operation of rotating machinery is directly related to the availability and safety of factories. The Metso DNA machine condition monitoring system, as an integrated online monitoring solution, achieves early warning of mechanical faults such as bearing wear, imbalance, misalignment, and gear meshing problems through fixed installation of vibration sensors, temperature sensors, and process parameter collection. However, any complex automation system will encounter problems such as component aging, signal abnormalities, and configuration failures during long-term operation. This article is aimed at on-site maintenance engineers and condition monitoring experts, systematically reviewing the typical fault phenomena, diagnostic logic, and standard troubleshooting steps of the Metso DNA system (including ACN MR controller, ACN I/O M120, AIF8 analog input unit, RVT/TT-125 dual output sensor, and intelligent alarm processing module) to ensure the high availability of equipment and the reliability of predictive maintenance data.
Overview of System Core Components
Before delving deeper into troubleshooting, it is necessary to review the key hardware and software modules of the Metso DNA machine condition monitoring system:
ACN MR Controller: High performance rail mounted controller, supporting redundant configuration (1:1 redundancy), with 5 100 Mbit/s Ethernet ports, detachable SD card for boot parameter storage, control cycle as low as 5 ms, suitable for centralized or distributed I/O architecture.
ACN I/O M120 series: high-density I/O unit, supports hot swapping, channel isolation voltage of 1500/2200 VAC, provides 8-channel fast dynamic measurement unit (such as AIF8V/AIF8T analog input unit), with rich channel level diagnostic functions.
RVT/TT-125 Sensor: Dual output acceleration and temperature sensor, sensitivity of 100 mV/g, frequency response of 1-7000 Hz (± 10%), temperature measurement range of+2~+120 ° C (10 mV/° C), using 316L stainless steel housing and M8 integrated bolt installation.
Analysis tools and intelligent alarm processing: Spectrum analysis, time-domain waveform, envelope demodulation, Bode plot, trend plot and other tools embedded in the Metso DNA Operate interface, as well as dynamic alarm curve (Notice Curve) function based on speed changes.
Common types of faults and diagnostic principles
Based on on-site experience, the main faults of the Metso DNA system can be classified into the following categories:
Sensor and signal link failures: including no output from acceleration sensor, abnormal bias voltage, temperature reading drift, cable breakage or connector corrosion.
I/O module channel failure: For example, a channel of the AIF8V unit cannot measure the 0-24V signal, the AIF8T unit cannot trigger the RTS-226 speed sensor, and there is crosstalk between channels.
Controller redundancy failure or startup failure: The main controller crashes and the backup controller does not automatically take over; SD card damage causes nodes to be unable to load real-time operating systems or application configurations.
Analysis tool data anomalies: unexplained phantom frequencies in the spectrum, loss of historical data in trend charts, inability to update waterfall charts.
Intelligent alarm false alarm or missed alarm: Due to the large range of device speed changes, the fixed alarm limit is no longer applicable; The notification curve is not running correctly or the parameter class division is unreasonable.
The basic principle of diagnosis is to isolate the sensor to the controller step by step: first check the sensor power supply and raw signals, then verify the hardware status of the I/O channel, confirm the controller communication and database configuration, and finally check the analysis parameters and alarm logic of the application layer.

Detailed troubleshooting steps
4.1 RVT/TT-125 sensor signal loss or excessive noise
Phenomenon: On the Metso DNA operator screen, the vibration amplitude of a certain measuring point remains zero or fluctuates violently, and the temperature value displays -50 ° C or exceeds the range.
Troubleshooting steps:
Check power supply: RVT/TT-125 requires 18-30 VDC power supply, with a typical operating current of 2-10 mA. Use a multimeter to measure the voltage between sensor pin A (signal/power) and pin B (common terminal), which should be the nominal bias voltage of 12 VDC (when the sensor is working normally). If the voltage is 0 or below 12 V, check if the upstream I/O unit (such as AIF8V) provides a 4 mA constant current source - note that each channel of AIF8V has a built-in 4 mA ± 0.1% constant current source for powering the acceleration sensor.
Measure output impedance: Disconnect the sensor from the I/O unit and measure the DC resistance between pins A and B at the sensor end. Normally, it should be around 100 Ω (maximum output impedance). If it is an open or short circuit, it indicates that the sensor is internally damaged.
Vibration signal simulation test: Use a handheld vibration calibrator (such as 100 Hz, 1 g) to directly excite the sensor, while observing the AC signal at pin A with an oscilloscope. The sensitivity should be 100 mV/g. If the deviation exceeds ± 5% (at 25 ° C) or the frequency response is abnormal (such as severe attenuation above 1 kHz), the sensor needs to be replaced.