A Fault Diagnosis Approach for Gas Turbine Exhaust Gas Temperature Based on Fuzzy C-Means Clustering and Support Vector Machine

Table 2

Fault diagnosis training sample set of EGT.

Type	/°C	/°C	/°C	/°C	/°C	/°C	/°C	/°C	/°C	/°C	/°C	/°C
F1	493.6847	519.3781	510.2112	521.7342	488.1656	471.3032	475.5255	493.422	486.8506	513.879	518.3308	514.9266
	497.8859	524.3516	513.879	524.09	493.422	475.5255	480.0065	497.8859	489.743	517.5453	523.043	519.1163
	496.3108	521.996	512.3073	524.09	490.5316	473.151	478.9526	497.0984	488.1656	515.7123	520.9489	516.7598
	500.2478	524.6133	513.355	526.9688	493.6847	477.1075	481.8502	499.723	491.8456	519.1163	523.043	520.6871
	F2	489.743	511.5213	502.3465	512.0453	481.0601	464.9604	474.2065	490.2688	480.7968	502.8711	511.2593	506.2799
489.4802		512.0453	502.8711	513.617	482.1135	466.5472	473.9427	490.7945	482.1135	504.4445	512.5692	507.5906
487.9026		510.9973	501.0349	512.3073	480.0065	465.2249	472.3592	490.2688	480.5334	502.3465	510.9973	506.5421
488.4285		512.0453	503.6579	512.8312	480.7968	466.8116	473.151	490.7945	481.8502	502.8711	512.8312	507.5906
F3		444.8924	448.348	487.1684	474.5367	461.6006	427.5448	244.4364	333.8674	236.1834	323.3517	431.559	419.7637
	444.0943	448.348	485.8542	472.955	461.3361	427.009	244.7409	334.1505	236.7968	322.4955	430.7567	420.3012
	444.8924	448.6136	485.8542	474.0095	461.0715	427.5448	244.7409	334.4335	236.1834	322.781	431.559	420.5699
	443.0299	448.0823	485.8542	473.2187	460.807	427.009	243.8271	333.8674	236.1834	321.9244	430.2217	420.3012
	F4	472.3592	463.3729	454.6267	468.3976	−17.7778	471.3032	481.3235	476.8439	456.2188	462.5787	468.926	479.2161
472.3592		464.6959	454.3612	468.6618	−17.7778	471.0391	482.6401	477.1075	455.4228	462.0493	469.4544	477.3712
470.511		461.5197	451.174	466.8116	−17.7778	469.4544	480.7968	474.2065	454.3612	460.4602	467.869	478.4255
470.7751		462.314	451.7055	466.8116	−17.7778	469.7186	481.3235	475.5255	454.892	460.1953	467.869	477.1075