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MEASUREMENT AND INSTRUMENTATION
Table 2. Comparison of most suitable MEMS accelerometers for CbM
ADXL1002 ADXL317 Other MEMS Vendors
No. Axes 1 3 3
±3 dB Bandwidth 11 kHz 4 kHz (x, y) 2 kHz (z) 2.9 kHz to 8.5 kHz
Resonance 21 kHz 5.1 kHz (x, y) 3.1 kHz (z) Not listed, or up to 7 kHz
Noise Density 25 µg/√Hz 55 µg/√Hz (x, y) 120 µg/√Hz (z) 75 µg/√Hz to 300 µg/√Hz
g-Range 50 g 16 g 2 g to 64 g
Cross-Axis Sensitivity 1% 1% Not listed, or up to 2%
Temperature Range –40°C to +125°C –40°C to +125°C –40°C to +105°C
Solutions for Attaching MEMS to Machines Yes No No
Table 3. MEMS accelerometer performance criteria for CbM applications
MEMS Accelerometer Performance Noise Bandwidth
High <100 µg/√Hz >5 kHz
Medium >100 µg/√Hz and <1000 µg/√Hz Up to 5 kHz
Low >1000 µg/√Hz Up to 1 kHz
Fault diagnosis noise. Typically, the mechanical resonance is several kHz
To detect and identify the potential source(s) of the fault, a higher away from the bandwidth of interest. Recently, several MEMS
level of MEMS accelerometer is required, along with algorithms. accelerometers have managed to move the usable bandwidth
closer to the mechanical resonance with enhanced filtering
Fault prediction methods. However, some manufacturers still choose not to state
This requires the highest level of MEMS accelerometer the resonant frequency of their vibration sensors, which suggests
performance in order to detect issues at the earliest possible time it is either very close to the usable bandwidth or reveals sensitive
and allow algorithms to identify the source of the fault. This also information on how their part works.
requires good domain knowledge of the asset.
Noise density
Fault prognosis MEMS accelerometer noise comes from several inherent sources
This is the highest level of PdM requiring the best MEMS such as flicker noise, Brownian noise or electronics noise. It is
accelerometers along with algorithms, machine learning, etc., as usually expressed in µg/√Hz. The noise output from a MEMS
well as expert domain knowledge of the asset. The aim of fault accelerometer is dependent on the output filter settings shown in
prognosis is to have the PdM system make recommendations to Table 5. Some data sheets specify rms noise but be careful as
prolong the life of the asset or even optimise the performance of this will often be over a very small bandwidth.
the asset.
Table 5. Filter order coefficient used in calculation of MEMS accelerometer noise
Keep in mind that the performance level of the predictive
maintenance sensor used on an asset is linked to the importance Filter Order Coefficient
or criticality of that asset remaining online, and not at the cost of
the asset itself. First 1.57
Table 4 shows the range of available bandwidths of the Second 1.11
MEMS accelerometers most suitable for CbM. Due to their Third 1.05
mechanical nature, various moving silicon elements and Fourth 1.025
integrated conditioning electronics, it is not easy to make a
wide bandwidth MEMS accelerometer, especially with low Brick Wall 1
Table 4. Bandwidth and resonance of MEMS accelerometers for CbM
ADXL1002 ADXL317 Other MEMS Vendors
Bandwidth 11 kHz 4 kHz/2 kHz 2.9 kHz to 8.5 kHz
Resonance 21 kHz 5.1 kHz/3.1 kHz Not listed, or up to 7 kHz
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