Vibration-Based Analysis for Detecting Turbocharger Blade Defect on High-Power Diesel Generator

This study is concerned with 12-MW capacity turbochargers on diesel power generators. These are generators equipped with 18 cylinders. Our previous studies [1] showed that the processing of vibration signature collected from a power generator is very complex, insomuch the dominant vibration remains the one originating from explosion frequency in the diesel generator cylinders, with a fairly high number of cylinders. This vibration drowns out all other possible vibrations, which can expose defects. The study at hand is focused on turbochargers with 20,940 rpm, while the rotation speed in the diesel engine is 600 rpm only. With the turbocharger rotating at very high speed, it results in severe mechanical constraints on the rotor shaft in the turbocharger and its related organs (turbine blades). The wear of turbine blades can result in breakdowns in the turbocharger. This article is an attempt to early detect defaults in turbine blades based on vibration signature that can be experimentally determined. We noted in our investigations that a diesel engine and its turbochargers do not bear the same mechanic loads. While the diesel engine is the seat of violent shocks brought about by explosions in cylinders, the turbochargers are driven by the action of exhaust gas from explosions, without being affected by explosion shocks. The study found that explosion frequency in the diesel engine cylinders, which disrupted the vibration signals in the diesel engine and alternator, did not impact on the vibration signals in the turbocharger. We experimentally determined, following several campaigns of measurements, a vibration signature on the turbochargers under study, which corresponds to a defect in turbine blades.


Introduction
We undertook this study as a result of repeated breakdowns in turbochargers on some power generating sets, to early detect causes of the breakdowns. Chief among them is the wear of turbine blades. During the normal functioning of the turbocharger the blades are likely to wear out over time. If the worn-out blades are not replaced in time breakdowns can occur on the turbocharger, which led us to determine the global vibration level of the turbochargers under investigation. The global vibration level is measured according to a standardized threshold, or obtained experimentally [2]. The wear of turbine blades occurs in global vibration level above the reference threshold. To detect the defect, the signals are interpreted with the help of signal processing methods [3]. The signals collected from the turbochargers are stationary [4]. There are many methods for signal processing. For the purposes of this study, Fast Fourier Transform (FFT) has been selected, for it is easy to implement and can be efficiently applied for processing stationary signals. Thus, we determined a vibration signature corresponding to the wear of the turbine blades. We found that the explosion frequency of the diesel engine does not disturb the spectra collected on the turbochargers.

Method
Signals collected on diesel generating sets are mostly cyclostationary [5] [6]. The first studies on cyclostationary signals can be traced back to the 1950s. In telecommunications, cyclostationarity received much attention, in particular since the 1980s; its use in mechanics appeared more recently, though [7]. A power generating set is characterised by the frequency of a rotating crankshaft and the frequency of explosions in the diesel engine cylinders. Disruptions may occur when the two frequencies are overlaid. These result in random cyclic signals; in other words, these are cyclostationary signals.
A random process is strictly cyclostationary with period T, if its probability density being periodic of period T.
Period T is called cyclic period.
A random process is solely stationary, if its probability density is invariant by Turbochargers on a diesel generator are insulated from mechanic shocks resulting from explosions in the diesel engine cylinders, which explains why the signals produced by the turbochargers are stationary. These signals can be prop- For example, t = 2n if t is even and t = 2n + 1 if t is odd. We arrive at the rapid Fourier transform (FFT). X(k) is then written [8] [9]:

Determining Explosion Frequency in Diesel Engine
Explosion frequency is an important parameter for diesel generators since the with 0 f : rotation frequency of the diesel engine.
The diesel engine under study has 18 cylinders ( Table 1). Explosion occurs 2 by 2, or 9 explosions per cycle. Following the formula (7), explosion frequency is 45 Hz.

Measures
Measurements were carried out on a diesel power generator at Balingue plant, belonging to the public energy utility of Mali. The instruments that have been used for measurements included a 100 mv/g-sensitivity accelerometer, a signal collector with 12,800 line capacity, and signal processing software. Measurements were made at standard measurement points ( Figure 1) by fitting the  accelerometer at these points, while the generator was running at full capacity (11 MW). We selected 6 measurement points on the turbochargers 8 measurement points on the diesel engine, and 8 measurement points on the alternator.
On each measurement point, 3 measures were performed following 3 directions: axial, radial vertical and radial horizontal. It has been noted that the whole range of the diesel engine vibration levels are below the permissible limit of 45 mm/s for the diesel side ( Table 2 and Table 3).

Global Vibration Level Analysis
As for the alternator, the limit is 20 mm/s. All the measurements on the alternators are below this limit (Table 4 and Table 5).
As no measurement on the diesel and alternator reaches these limits (45 mm/s and 20 mm/s), the vibration status of the diesel engine and alternator is sound On the other side, the maximum vibration measured on the turbochargers was 20.8 mm/s in side A (

Spectral Analysis
We can see that on the faulty turbocharger where turbine blades are worn out        and Figure 5). These spectra did not change, in frequency domain, even with a defect.

Discussion
The measurement points on the turbocharger part were in places where the temperature was very high. This constraint has led us to repeat the same measures several times to ensure the accuracy of these measures. We found relevant results from the Fast Fourier Transform method. However, it is possible to improve these results by testing other methods. In perspective, we intend to test the time-frequency method on high power diesel generators and compare these results with those found with the Fast Fourier Transform method (FFT).

Conclusions
The explosion frequency in diesel engine has no impacts on the turbochargers.
They work as a usual rotating machine. Therefore, it was possible to analyse the  The study found that explosion frequency in the diesel engine cylinders, which disrupted the vibration signals in the diesel engine and alternator, did not impact on the vibration signals in the turbocharger.
Through experiment, we determined a vibration signal corresponding to an actual defect in the turbocharger turbine, including detecting the defect, the cause of the defect, as well as the extent and severity of the given defect (wear of 4 blades).